The Detecting Dynamics of Public Opinions in Social Media using thematic modeling methods

A. V. Chizhik


Digital technologies have led to the formation of the new level of socio-cultural space, which is expressed in the permanent presence of the phenomenon of virtual reality in everyday life. It is the main motivating tool for social and political transformations of society, which consist in accelerating the logical bound “public mood à public opinion à social action of the masses”. Understanding these changes in social phenomena actualizes the problem of forming systems for detecting the current public mood, which can be the basis of feedback between the authorities and society, or monitoring public mood as a reaction to the social and political situation.

This study would work on topic modeling focused on the algorithm employing Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA). The data collection of news announcements, that were published between 2020 and 202, is used as the main data resours with unstructed text. The stages of preprocessing include cleansing, stemming, and stop words. The advantages of LSA are fast and easy to implement. LSA, on the other hand, doesn’t consider the relationship between documents in the corpus, while LDA does. This study shows that LDA gives a better result than LSA.

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Yadov V.A. Social and socio-psychological mechanisms of the formation of a person's social identity // World of Russia. 1995. No. 3-4. - P.158-181.

Porshnev BF Social psychology and history. M, 1979 .-- 232 p.

Weber M., Basic Concepts in Sociology. 2000. 123 p.

Parsons T. The structure of social action. 1937. 753 p.

Habermas J., Theorie des kommunikativen Handelns. Frankfurt, 1991. 385 p.

Habermas J. The Idea of the Theory of Knowledge as Social Theory // J. Habermas. Knowledge & Human Interests. 1987. pp. 102-317.

Husserl E., Logical Investigations. International Library of Philosophy. 2001. vol. 1&2. 362 p.

Sartre J.-P., La Transcendance de l'Ego. 1936. 87 p.

Simmel G. Sociology of space. Selected works: in 2 volumes, Moscow, 1996.Vol. 2.607 p..

Sorokin PA Social stratification and mobility // Man. Civilization. Society. M., 1992.S. 295-425.

Luhmann N. Social systems. An outline of the general theory. SPb, 2007.641 p.

Castells M. Information age: economy, society and culture. M., 2000.S. 41-42.

Bellegarda J.R. Latent Semantic Language Modeling for Speech Recognition, Mathematical Foundations of Speech and Language Processing, IMA, V 138. pp 73-103. 2004.

Blei D., Ng A., Jordan M. Latent Dirichlet allocation. Journal of Machine Learning Research 3. pp 993-1022. 2003.

Barlow R. E. Introduction to de Finetti (1937) Foresight: Its Logical Laws, Its Subjective Sources. Breakthroughs in Statistics. pp 127-133. 1992.

Maaten L.J.P., Hinton G.E. Visualizing Data Using t-SNE. Journal of Machine Learning Research. Pp 2579-2605. 2008.


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