by Sentimenti Team | Feb 3, 2023 | Market research, Politics and Social
Disinformation – a word that appears in the public space every day. Russia almost every day conducts an intensive disinformation campaign against not only Ukraine, but also Poland and countries that help Ukraine, both militarily and humanitarian. Every day we face a séance of hostility, but above all a flood of lies about us.
Disinformation and pro-Russian narrative on X (formerly known as Twitter). What is being written about?
Analysts and specialists in disinformation and cybersecurity agree here. The purpose of the online campaign, which has been ongoing since the beginning of Russia’s invasion of Ukraine, is primarily to provoke hostility and antagonize Ukrainians and Poles. With each month of the war in Ukraine, the scale of the attacks intensifies, and increasingly harsh accusations and threats are made against Poland.
According to Stanislaw Zharyn, who has recently been acting as the government’s plenipotentiary for the security of Poland’s information space, Russia is actively conducting a psychological operation against Poland and the West as a whole. The operation is aimed at intimidating and forcing submission to Russian imperialism.
Russian propaganda is constantly conducting online operations aimed also at intimidating Poles. On the Internet, all themes appearing in Russia’s popular propaganda programs are being expanded. We decided to check what kind of content is created by the most popular Twitter accounts known for sowing disinformation, fake news about the war and – generally speaking – for their love of Russia.
We selected the 5,000 most popular posts (with the highest number of accumulated interactions) posted to this channel from each of the months between January 2022 and January 2023, i.e. for a full 13 months. A total of 494 profiles were manually monitored. The data collected in this way was further examined for emotion and sentiment, and we further examined which threads and thematic contexts aroused extreme emotion and generated high emotional arousal.
Among the online personalities we surveyed are mostly anonymous accounts and profiles, which often make typical Russian mistakes. They are created in part by transferring Russian content to Poland using automated free translation programs. Unfortunately, more influential people are increasingly included, spreading pro-Kremlin propaganda as a whole.
Festival of fake news and disinformation brings results
The incentive and starting point for our analysis was an article that appeared on gazetaprawna.pl (Polish). As we read in the material, titled “The Russian propaganda. “Poles increasingly susceptible to Russian propaganda [SURVEY],” recently there has been a strong increase in the number of people who more or less consciously share the theses circulated on the web that are part of pro-Russian disinformation. The Warsaw Enterprise Institute conducted its survey in this regard.
The results of the aforementioned survey show the same thing we see in the data we collected. Contexts of Ukrainian refugees, who are referred to as economic migrants, appear regularly. Even more frequent references are made to history, namely Volhynia and Bandera. Propaganda penetrates from Russia to Poland without any barriers via social media, but not only.
Returning to the 494 X (formerly known as Twitter) profiles we took under our magnifying glass, one thing strikes the eye above all. This is the extremely high level of activity. Some of the Twitter accounts are active to such an extent that it raises serious doubts about whether there are actually people behind them.
The Polish Anti-War Movement and the disturbing results of public opinion polls
The content is mass-collected in such quantities (200 or more posts a day) that it is challenging to imagine that the people behind it have anything else going on in their lives. There are also accounts that can flood a social network with several thousand pieces of content in a month. As for month-on-month increases in activity, for some periods the activity even increased by more than 80%. The trend is also noticeable and unambiguous.
What can be seen in the chart is, of course, only a slice of what is actually happening online. The point, however, is that this type of activity brings tangible results to those who conduct such a campaign online (increasingly, they also conduct it offline, i.e., on the streets of Polish cities).
The conclusions of the WEI study, as reported in Gazeta Prawna, are clear. In September 2022 and January 2023, the survey was conducted on 1,061 Poles. A comparison of the collected information yielded grim conclusions. , In January this year, as many as 41 percent of respondents (previously it was 34 percent) “strongly agreed” or “tended to agree” with a minimum of four statements characteristic of the Russian narrative
The opinions of Poles in this survey are very consistent with what narrative is served to them online, among other things. For 63 percent, Poland cannot afford to take in refugees. 41 percent are also convinced that refugees from Ukraine are economic migrants. 30 percent of Poles believe that we should not help Ukraine unless they apologize for the difficult history of relations between Ukraine and Poland. The group of Poles who believe that Russia should not be teased because it is a nuclear superpower has increased to 40 percent.
Content colluded by pro-Russian profiles online. What kind of sentiment?
Pro-Kremlin propaganda is beginning to increasingly shape what is going on in the minds of Poles. Declining support for supporting Ukraine or welcoming Ukrainians fleeing the war is a phenomenon that is occurring in parallel with what is happening to our economy.
Poles are increasingly connecting the dots and believe that the war is to blame for the fact that we have less and less in our wallets. This thesis is also being used in the narratives being spread.
The chart below is an analysis of the content we’ve gathered from nearly 500 profiles that colportage constantly pro-Kremlin content on X (formerly known as Twitter). Sentiment averaged negative on a monthly basis throughout the period analyzed, which is not surprising
However, not much variation in sentiment was noted for the entire 13-month period under study. What is clear, however, is how the narrative changed after the start of the war in February 2022, and that there was a marked jump in negative intensity.
Contexts and topics covered by disinformation accounts
When it comes to the content of posts uploaded to the web, we checked the ones that carry the greatest emotional charge. It’s all about anger or revulsion. The following analysis is the result of this. The different colors denote groups of topics. The color black identifies political topics. The red color is in contexts related to the war in Ukraine and derivative topics such as the Volyn slaughter, genocide and the military.
The yellow color refers to issues related to refugees from Ukraine. Blue tinges the topics related to energy and climate policy and raw materials. We were also able to isolate issues related to coronavirus, which we marked in green.
The analysis shows perfectly what the analyzed profiles are colporting. We can see what the intensity is in terms of topics and what issues are being covered. These accounts produce intensely content hitting the Polish government. They are also spreading disinformation in the field of health care or pandemics. We also see the topic of Ukrainian refugees and the impact of their presence in Poland on our economic situation.
Russian trolls will be colporteurizing more and more such information in the near future, as indicated, for example, by the first chart in this article. Soon we should expect – in connection with the planned and long-announced spring offensive – more uploads, but with strictly military topics (including mobilization in Poland, which is not present).
One can expect a difficult time ahead. It will be difficult to distinguish truth from lies, but the goal is invariably the same – to divide Poles and Ukrainians, Putin’s strategic goal.
by Sentimenti Team | Nov 22, 2022 | Categorising comments, Market research, SentiBrand
As a strategic global partner of Statista®, we regularly study industries. We publish the results in the form of periodic reports or as requested by the client. They are of great interest among the surveyed companies, as well as their customers.
We have prepared a commercial report analyzing the intensity of emotions evoked among service users by the activities of Polish mobile operators in the period from January 2022.
What you will learn from the report:
- how my company compares to the competition,
- which services cause the most irritation and anger,
- which services your customers love,
- analysis of specific comments for each emotion.
Who was written about the most
The study examined more than 250,000 Polish-language comments and opinions found on the profiles of Play, Orange, T-Mobile, Plus, Nju Mobile, Lajt Mobile, Mobile Vikings and Virgin Mobile. They were posted on Facebook from January 2022.
For starters – the sentiment
The chart shows the differences in the intensity of negative sentiment, positive sentiment and emotional arousal of an operator compared to the other seven companies. In other words, for example, the negative sentiment around operator 1 was 52% higher than the average sentiment measured for the other seven operators combined.
In this presentation, operators’ data have been anonymized (full data are available in the commercial report).
Emotions are more important
The chart shows the differences in the intensities of the selected four emotions in the discussion on a given company’s profile compared to the other seven. That is, similar to sentiment, for example, the intensity of the emotion of anger measured for operator 1 was 39% higher than the average intensity of this emotion measured for the other seven operators combined.
In this presentation, operators’ data have been anonymized (full data are available in the commercial report).
What else you can find in the report
The analyses indicated above are only a small part of the report. It further includes:
- analysis of the total number of mentions,
- analysis of the average intensity of sentiment and arousal for each operator,
- analysis of the average intensity of basic emotions for each operator,
- an analysis of mentions broken down into operator comments and Internet user comments,
- analysis of sentiment and arousal for operator and Internet user comments,
- analysis of contexts and themes in opinion content by emotion (e.g., anger and joy), separately for each operator.
- the most prominent comments in terms of stimulated emotions.
20221101_polish_telekoms_v3_EN
Use our information to improve communication with your customers and improve your service. We can update reports at any set period (even daily).
Our analysts will help you interpret the data so that you get the most out of the information that is important to you and your company…. Get back to us!
by Sentimenti Team | Sep 18, 2022 | Market research, SentiBrand
Analyzing sentiment in the comments and opinions that swarm social media helps uncover what is essential for marketing departments and beyond. It helps track business performance based on customer and product satisfaction information and manage brand reputation online.
Sentiment. Do online comments matter?
The skill is in knowing how to take advantage of customer reviews and comments, which are abundant online. However, it is difficult to extract the ones that are relevant from all the online chatter. Every day there is a whole lot of conversation on social media about services, companies and products.
Social media is a very important space in business development today. It is one of the most cost-effective ways to conduct market research by analyzing customer opinions, and on top of that, it is time-efficient. It allows you to engage with customers – both current and potential – in a valuable way.
This is essential in the process of branding and resolving any negative or sensitive issues as quickly as possible. When we analyze sentiment in social media comments, we get express insights into various aspects of the business that ultimately affect profits.
These include the pros and cons of a product or service, changing market preferences, after-sales service and many other parameters. Today, up to 70% of companies use insights and knowledge from social media reviews to formulate brand strategy, and more than 60% find sentiment analysis data in reviews extremely useful for effective ongoing customer service and sales.
Sentiment analysis is a stepping stone to customer experience analysis and is done through machine learning (ML) models. These include neural networks, natural language processing (NLP), thematic categorization and finally sentiment and emotion analysis.
What does the knowledge coming from the network allow?
Here are some of the most important ways for companies to use sentiment analysis on comments. These include extracting in-depth information about customers and products, discovering emerging market trends, making sales or increasing market share. These include:
- Monitoring overall customer satisfaction;
- Improving the customer experience;
- Getting real-time consumer insights;
- Identifying emotional triggers in customers;
- Improving products and services;
- Building brand loyalty;
- Reducing customer churn;
- Training customer service employees;
- Training chatbots;
- Managing brand reputation;
- Monitoring changes in sentiment over time;
- Improving marketing content published on social media;
- Gaining competitive intelligence;
- Preparing for changes in market trends.
Branding is the focal point of all marketing efforts when it comes to products and services, so studying its image is about understanding how it is perceived by those who use those products or services. It’s also a way to learn the opinions of those who value the competition more.
Branding is basically a psychological phenomena created and designed by marketing to influence consumer preferences and buying behavior. It is the face of a company and the outer shell that the world sees.
Sentiment analysis. Examine your image!
Sentiment analysis helps companies capture what their customers are really saying about them by analyzing the feedback consumers use to express their feelings and emotions in published reviews. Whether these sentiments are positive, neutral, or negative, in the digital age it is important to use this to align your business with market trends
Consumer opinions are essential to understanding a brand. Companies can learn from consumer opinions to improve customer experience and create or change operating strategies.
Sentiment analysis can help a company examine its brand by:
- Discovering what motivates customers and stimulates purchase intentions, or fosters dissatisfaction;
- assessing the impact of marketing campaigns and creative strategies on consumer perception;
- understanding consumer opinions on product price, quality, reliability, user experience, etc.; and
- benchmarking against competing products, services, and brands;
- analyzing and comparing different consumer segments and share of voice.
The three main ways consumers express their feelings and opinions about a brand? They are product reviews, consumer surveys and social media posts.
The challenge for marketers is to collect, analyze and summarize these myriad opinions. This must be done in such a way that their results are understandable and actionable.
Using both topic-based sentiment analysis and machine learning and artificial intelligence, Sentimenti can help analyze customer sentiment and opinions.
It doesn’t matter if it’s qualitative or quantitative research. An important part of branding is understanding what’s behind the content of comments. By doing so, you can gain deeper insights into the minds of consumers or prospective customers, and that’s another step to improving your offerings.
by Patryk Le The | Nov 30, 2021 | Categorising comments, Politics and Social, Sentimenti research
Progressive climate change is already visible with the naked eye. In Poland, weather anomalies such as droughts, tornadoes or cloudbursts appear more and more frequently. Especially the latter have become a scourge of the last several weeks: as a result of excessive rainfall many regions of Poland, especially in the south, have been flooded. When in 1997. When the then prime minister Włodzimierz Cimoszewicz, when asked about compensation for flood victims, stated that it was necessary to insure oneself, this (seemingly) obvious issue almost cost him his position, and as a result of the unfortunate statement, his party lost the upcoming elections. How is it today? We checked what Internet users say about insurers in the context of the flood.
Circumstantial opinions about the industry
The insurance industry for a long time aroused mixed feelings among Poles. As a part of the financial industry it enjoyed low social trust for several reasons: this result was sustained by reluctant payments of claims, their amount, the way of calculating premiums, long-lasting and incomprehensible claim validation procedures, etc.
Only the change of the above determinants combined with the increase of social awareness and understanding of the impact of the insurance industry on social and economic security of Poland resulted in gradual but regular increase of confidence in the insurance sector.
Today, the offer of insurers covers a very wide area and Poles themselves insure much more willingly. Although not as willingly as people in Western Europe (in Poland, additional insurance is still seen as a luxury), but the increase in the number of countrymen insuring their life and property is noticeable. In addition, their consumer awareness is also growing, as evidenced by the popularity of various types of insurance comparison sites, ranking machines, etc. and, consequently, changing the insurer to one that offers more favorable terms.
Insurance and floods: a controversial topic
Two catastrophic events, the floods of 1997 and 2010, had an impact on the increased awareness of Poles of the need for flood insurance. This awareness extended not only to the necessity of insuring against the devastating effects of nature, but also to the circumstances surrounding the policies in question: insurance rules, rates and payments due to flood damage.
Poles are now more willing to find out which buildings can be insured and which will be excluded by the insurer, what risk assessment criteria are used in the event of flooding, and to check the properties they buy from this point of view – the low price is no longer an indicator of the attractiveness of a plot of land or of a construction project (e.g. a house, a terraced house etc.), but has become a warning light – buyers check such offers in the flood database with the knowledge that an appraiser from the insurance company will also carry out an analogous procedure.
And there is a lot to fight for: in case of a flood, the insurance may cover not only the losses caused to the property itself, but also to its attached outbuildings and movable equipment: furniture, household appliances, works of art, plants, interior decoration (floors), items used for business activities (e.g. machinery), etc.
Finally, it is worth mentioning that apart from the growing awareness of consumers and effective sales work of insurance agents, there is another aspect – legal regulations. Since 2003, it has been obligatory for farmers with a farm of more than 1 ha to insure themselves against natural disasters. However, according to the insurers’ data, the policy covers mainly residential and farm buildings (90% of farms). In 2020, only 30% of farmers insured their crops and livestock against natural disasters.
The government’s policy plays a major role in this situation – it pays out targeted benefits to help the most affected regions or municipalities, regardless of whether a given household is insured or not. These benefits cover both reconstruction of destroyed houses and temporary support. In part, they make Poles insure themselves only to the mandatory extent.
Insurance. How do internet users discuss them?
We decided to take a look at the emotions that insurance companies and the issue of flood and flood-related repair evoke in the Polish Internet. We checked and researched articles, posts, comments etc. between June and August (15.08) of this year. To begin with, we confronted with each other two simple phrases – “insurance” and “compensation”. This allowed us to get a general idea of the mood of Internet users and the context of mentions (e.g. on forums or web portals) concerning the insurance industry.
Figure 1: Dynamics of mentions of the phrases “insurance” and “compensation” in the period 06-08-2021.
Let’s take a look at the chart: it shows the intensification of insurance discussions in the period 12-26 June and 14-24 July this year, with much less intensity in the phrase “compensation”. The basis of these discussions was, among other things, the catastrophic weather situation in Europe and partly in Poland: a tornado with winds blowing at a speed of over 300 km/h (!) passed over the Czech Moravia, there were also hailstorms, including in Poland – in Tomaszów Mazowiecki the diameter of hailstones amounted to as much as 13.5 cm.
Similar hailstorms occurred in Italy and Switzerland. In addition, thunderstorms and storms caused devastating floods in Belgium, the Netherlands and – above all – in Germany. Slightly weaker, but also powerful rainfall and windstorms were recorded at that time in the country, including Kujawy, central Poland (Lodz), Lesser Poland (Małopolska), Silesia and Podkarpacie.
For these reasons, dozens of articles, analyses, news and reports appeared on the Internet, but also heated discussions under the articles, on forums and in social media: there were requests for help to victims of flooding, criticism of sly car traders hunting for the so-called. There were also intensive criticisms of the government’s assistance to the victims in the context that the victims should have insured themselves earlier, and not now beg for help from the state budget (i.e. “FROM OUR TAXES”). Part of this context were comments on crop losses suffered by farmers.
Part of the discussion also referred to the state of flood protection in the country, with commentators criticizing the government’s ad hoc actions, ineptitude and lack of long-term plans. Finally, the media in general used the opportunity to recall the tragic floods of the past years, which effectively heated the atmosphere of public opinion and the temperature of various discussions.
The temperature of water, or discussants in emotion
Our next activity was to determine the average of the most important emotions of the discussion, and then to show the dynamics of change of these emotions during the period studied. Let’s look at the graph – it perfectly shows the whole situation:
Figure 2: Averaged emotions in discussions with anger, joy, anticipation, and surprise indicated.
The results obtained in the study were basically to be expected. In the graph we see a high level of anger and a similar level of surprise; there is even some overlap in the dynamics of the two emotions. The peaks indicate the intensity of discussion during the period of natural disasters. The level of joy is of course also unsurprising, while it is interesting to note that the joy and expectation graphs coincide in terms of dynamics. This is most likely caused by the reaction to the actions taken by the authorities and, at the same time, hope for a change in the situation.
Insurance. Do internet users have sentiment for the companies?
Nowadays, a popular solution in the market for content analysis using artificial intelligence is the analysis of texts for the sentiment contained in the utterances. Sentiment analysis is also a part of our offer, however, it is only one of the elements of cross-sectional content analysis: without taking into account emotions and the level of emotional arousal, sentiment analysis gives incomplete results, which can also be misinterpreted – two so-called negative emotions (e.g. sadness and anger) will cause the sentiment of an utterance to be determined as negative. Meanwhile, these emotions are significantly different from each other – their impact on the person feeling them will cause different types of behavior (anger – attack, sadness – freeze or flee).
As stated above, as part of the analysis, we also conduct a sentiment study of the text under review. For the purposes of this article, we conducted such a study on a sample of 7901 mentions. Here, too, there were no surprises – insurance companies are not given sentiment by internet users, although we should have said otherwise – the dynamics of mentions indicates the significant presence of negative sentiment. Let’s take a look at the chart:
Figure 3: Sentiment dynamics in mentions of insurance during the study period.
What we see is an intense discord between the number of negative and positive mentions: the dominant sentiment towards the topic is minor, and the dynamics of the negative sentiment is basically inversely proportional to the positive sentiment; the moment when this dynamics is particularly well visible is between 25.06 and 7.07.
Significantly (and this trend is repeated across survey stages and is confirmed in the mentions we collected), much of the negative sentiment about flood insurance is driven by commenters’ anger directed at the uninsured who are demanding that the authorities compensate them for their material losses. Mentions also indicate the frustration, anger and disgust of Internet users with the authorities in general – not only for paying targeted benefits to the victims, but also for systemic negligence in water management and flood control policy.
Finally, a large part of the statements are reminiscences of Internet users about unfortunate speeches of politicians (lack of empathy), misguided visits to disaster sites (only to improve their own image) and statements of a political trolling nature: Internet users leave malicious, often hateful comments about previous governments and their various moves, e.g., migration and foreign policy, migration and foreign policy, and the policy of the Polish government. Internet users leave malicious, often hateful comments about the previous governments and their various policies, such as migration and foreign policy, and criticize the victims for certain political choices – disasters particularly affect areas considered to be bastions of the current government, although these areas are most vulnerable to flooding, waterlogging and floods.
A word of summary
The above analysis of publications and discussions found on the Internet showed us that the topic of insurance in general, and in the context of natural disasters in particular, is still controversial and stirs up a lot of emotions among Poles. First of all, because the progressing climate change causes more and more frequent occurrence of such weather anomalies as tornadoes or flash floods, which are widely commented on in social media, forums, articles and news.
Insurance companies are still not very trusted, although the trend of them building a positive image is growing. They are hindered by … their fellow countrymen, who insure themselves to a minimum extent and usually when required by law. On top of that, according to internauts, there are high premium prices and often difficult loss adjustment procedures. The icing on the cake is the belief that flooding or similar damage caused by a natural disaster will not happen to “us”.
Finally, the government and local governments are not helping insurers to change the current situation. This context is evident from the huge number of mentions – it is emotionally charged and generates a lot of negative emotions – mainly anger, but also fear and surprise. It is little consolation that people who have already experienced a loss of property take care of proper insurance.
Methodology
The study used content obtained through internet and social media monitoring.
- Number of mentions and comments examined: 7991
- Study period: June 1 – August 15, 2021.
- Number of unique discussion sites: 179
- Discussion sites and number of views surveyed. news portals: 6287; Facebook: 1237; Forums and blogs: 223; YouTube: 120; Twitter: 94, Other: 30
by Damian Grimling | Nov 6, 2021 | Sentimenti research
When sentiment analysis began to be used for marketing activities in the early 2000s, it opened up vast opportunities for the marketing and advertising industries. Understanding consumer sentiment allowed for better validation of actions and more precise targeting of target groups. Today, 20 years later, new doors are opening—rather than just measuring sentiment, we can now analyze emotions, and this offers even more benefits. What are they?
FROM THIS ARTICLE, YOU WILL LEARN: |
-
What is the difference between sentiment and emotion? -
What is the difference between sentiment analysis and emotion analysis? -
How do the results of both algorithms look in practice? -
Emotion analysis is not only effective in content marketing -
Perspectives on the development of emotion analysis tools |
Differences Between Sentiment and Emotions: Full List of Emotions
First, let’s define sentiment and emotions—the most important differences arise at this basic level because sentiment and emotions are two distinct phenomena.
-
- Sentiment is the state in which a person experiencing emotions can name what they are feeling, connect that experience with thoughts about it, and then make a conscious decision regarding the source of the stimulus. Sentiment, therefore, is the sum of physiological reactions (from the body) and cognitive processes triggered by the experience of emotions. Since it is a conscious state, it can be sustained by the person experiencing it. In general, sentiment is a broad mental attitude towards a particular experience.
- Emotions, on the other hand, are the physiological and, consequently, psychological brain responses to an external stimulus or an experience related to such a stimulus. The combination of the experience and the body’s reaction (hormonal activity) causes a short-lived and unconscious state, leading to specific actions such as fight, flight, freeze, awe, disgust, etc. What’s more—each emotion is tied to a different type of reaction, resulting in different behaviors.
As you can see, without experiencing emotions, you cannot enter a state of sentiment. Emotions operate at the lowest, behavioral level, while sentiment is their reflection, consideration, and evaluation by the person experiencing them. Emotions cause spontaneous reactions, while sentiment leads to conscious and controlled actions. The most significant difference: there are only eight basic emotions (according to Plutchik’s theory: joy, sadness, anger, fear, disgust, surprise, anticipation, and trust), which, when combined, form secondary, higher emotions that lead to the creation of feelings. In the case of sentiment, we are dealing only with positive and negative sentiment, sometimes also neutral.
Exploring Emotions: Media Monitoring vs. Sentitool – A Tool Comparison
Just as the phenomena of sentiment and emotions differ, so do the tools used to analyze them. These tools leverage advanced technologies such as neurolinguistic programming, machine learning, and other AI algorithms. Currently, in the Polish market for sentiment analysis in online content, several reputable companies exist, but in the field of emotion analysis, only one stands out as a true pioneer—Sentimenti. Below is a comparison of the general capabilities of sentiment and emotion analysis tools.
| |
-
examining the general tone of statements made by Internet users, article authors, etc. -
determine the user's impression and attitude after reading the text -
ease of processing and estimation of analysis results -
Useful for evaluating online brand mentions, social media management and customer communications, including complaint handling -
crisis communication support -
comparing consumer attitudes toward our own and competitors' products | -
to examine the instinctive reactions of Internet users and the intentions of the creators -
The ability to get to the emotions behind a particular sentiment and determine the future actions of those commenting -
Much greater range of information collected (8 emotions, sentiment analysis and emotional arousal) -
ability to work on huge groups of respondents -
assessment of consumer sentiment before and after the advertising campaign -
validation of marketing strategies -
monitoring emotions about the company in online mentions -
-
comparing brand perceptions -
analysis of emotions associated with influencers, YouTubers, bloggers, etc. to accurately select a brand ambassador |
Conclusion: The common (even within the industry) usage of the terms sentiment analysis and emotion analysis is incorrect. Sentiment is a much narrower concept, indicating in practice only the tone of a statement and possibly the mood of the author. Emotion analysis, on the other hand, describes the level of individual emotions (providing a percentage result for eight components, as well as the type of sentiment and the level of emotional arousal); with this data, consumer reactions and behaviors can be predicted with high accuracy.
As you can see, this data is more detailed; its analysis is more challenging, but it is also more accurate and comprehensive. Sentimenti’s algorithm includes as many as 30,000 words and phrases collected from a group of 22,000 people. The algorithm itself was developed in collaboration with the Wrocław University of Science and Technology and the Brain Imaging Lab of the Polish Academy of Sciences.
How Do the Results of Both Algorithms Look in Practice?
Time for some practice! Take a look at the following analysis of a real review:
I will never buy anything from smelly V(…) again. I recently decided I didn’t want to buy tragic clothes from chain stores, so I bought from there, and the supposedly perfect condition item, without signs of wear, had a stain that was visible. The woman claims that when she sent it, the stain wasn’t there.
This review is authentic and taken directly from a portal. What can you read from it when measuring sentiment versus emotion?
Results: Anger – 70%, Fear – 45%, Anticipation – 24%, Surprise – 57%, Trust – 14%, Sadness – 60%, Disgust – 62%, Joy – 10%, Positive sentiment – 10%, Negative sentiment – 70%, Emotional arousal – 72%.
The comment comes from a disappointed customer who, instead of making a purchase from one of the popular boutiques, opted for what she considered higher-quality used clothes. The purchase turned out to be unsuccessful, and the item was stained despite being described as in good condition. The buyer is clearly upset (emotional arousal at 72%), angry (a high 70%), feeling disgust (62%) and sadness (60%)—as she expected a good purchase. Notice that the woman also exhibits a high level of surprise (57%) and fear (45%)—when you add the disgust result, you can understand that this is her physical reaction to the experience of being deceived.
Now look at the same review from a sentiment analysis perspective: you receive two results—negative (70%) and positive (10%). The negative sentiment is evident even without automatic analysis, given phrases like smelly, tragic, stain, woman. The phrases supposedly perfect condition and without signs of wear build the low positive sentiment score.
The key information, however, is hidden—the phrase smelly refers directly to the shopping platform, tragic to the quality of chain store clothes, and woman to the seller. The overall tone of the review is set by the epithets unrelated directly to the purchased item, yet the sentiment analysis result remains negative.
Conclusion: With percentage results for basic emotions and knowledge of the typical physiological reactions they correspond to, you can estimate consumer behavior in this situation. Anger is associated with an attack response (hence the comment on the portal), disgust and fear with flight, and sadness with freezing. The emotional consumer will likely switch to another platform or opt for in-person shopping. She will probably not use this platform again.
Emotion Analysis is Effective Beyond Content Marketing
You’ve just seen how sentiment and emotion analysis results are interpreted in a specific example, and what kind of insights you can gain from them. As you’ve likely noticed, emotion analysis is a far more comprehensive, complete solution tailored to customer needs. But are emotion analysis algorithms limited to marketing, PR, or customer service?
Definitely not. With the development of machine learning technology and the implementation of increasingly sophisticated AI algorithms, the possibilities of emotion analysis extend into other industries. Today, emotions can be analyzed, for example, to forecast stock market prices or investment opportunities in the cryptocurrency market.
Future Prospects for Emotion Analysis Tools
If the above information hasn’t convinced you of the superiority of emotion analysis over sentiment analysis, look at the development potential of the former. Artificial intelligence is already highly advanced. Today, AI is being implemented not only to study but also to create emotionally engaging content aimed at achieving set goals.
These goals include increasing conversion rates from marketing activities, acquiring more effective leads, or providing customer service tailored to consumer needs (including potential crisis situations and ways to avoid them). The latter goal significantly improves user experience, increasing customer loyalty to the brand, which, in turn, strengthens the brand’s position in the market. That’s the potential of this technology—sentiment analysis can’t do that.