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Tonality analysis of text allows estimating the emotional structure data users in social networks
24.02.2017 12:35
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Tonality analysis of text allows estimating the emotional structure data users in social networks

Head of sector of ANAS Institute of Information Technologies Irada Alekperova delivered a report on "Informatics emotions: Methods of text analysis the tone"devoted to the International Day of native language.

Noting that, a process of psychological emotion is a complex and complicated form of human perception, the speaker brought to the attention of the audience that with the rapid development of the ICT sector emotsiologiya becoming one of the areas of computer science research.

The head of sector told that data on emotion can be received from information which is in the static or dynamic modes automatically. She also informed on methods of determination of emotion on the basis of information obtained from features, audioinformation, movements of fingers on the keyboard.

Representing the factors determining a tonality of the text, I. Alekperova informed on spheres of the analysis of a tonality for emotional assessment of the text, the main directions in the analysis of emotions, including approaches to sentiment analysis. Noted that, a sentiment analysis on social networks is performed for assessment of emotional list of these users. According to the speaker, for automatic assessment of events, products, the organizations, persons and the countries in social media in real time it is widely used algorithms "Opinion Mining" and "Sentiment analysis".

In conclusion I.Alekperova gave detailed information about the system automatically determine the emotional tone of the test - "Tone Analyzer", "Kanjoya", "Lexalytics", "Taste Analytics", "Pulse of theNation", including conferences held in this area, publications concerning the analysis of the information.

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