ISSN 2071-8594

Russian academy of sciences

Editor-in-Chief

Gennady Osipov

S.N. Enikolopov, Y.M. Kuznetsova, I.V. Smirnov, M.A. Stankevich, N.V. Chudova Creating a text analysis tool for socio-humanitarian research P.1. Methodical and methodological aspects

Abstract.

The first part of the work conceptually examines applications of artificial intelligence in socio-humanitarian studies. The world trend of the last decades is focused on the involvement of social media data for research interests, which allows solving the tasks of monitoring, analysis, forecasting and management in relation to such parameters of network communication as opinions, attitudes, emotions, and behavior patterns of communicants. In order to develop tools for network content analysis, we propose to utilize the method for relational-situational analysis that based on the syntactic analysis approach by G.A. Zolotova and the concept of heterogeneous semantic networks proposed by G.S. Osipov. The proposed approach makes it possible to consider texts as the product of the author's speech-thinking activity, which allows applying Russian psychological research background to study cognitive processes, personality, motivation, emotional states, individual differences, and the general worldview.

Keywords:

socio-humanitarian research, artificial intelligence, automatic text analysis, relationalsituational analysis, predicate-argument structure

PP. 28-38.

DOI 10.14357/20718594190203

References

1. Golenok M.P., Osipova N.O. Digital humanities: problemnoe pole i perspektivy razvitiya [Digital Humanities: a problematic sphere and development tendency] // Nauchnoe obozrenie [Scientific Review]. 2018. № 1. URL: https://cyberleninka.ru/article/n/digital-humanitiesproblemnoe-pole-i-perspektivy-razvitiya
2. Bazenkov N.I., Gubanov D.A. Obzor informacionnyh sistem analiza social'nyh setej [Digital humanities: a problematic sphere and development tendency] // Upravlenie bol'shimi sistemami: sbornik trudov [Management of large systems: a collection of works.]. 2013. № 41. S. 357-394.
3. Van Royen, K., Poels, K., Vandebosch, H., Adam, P. Thinking before posting? Reducing cyber harassment on social networking sites through a reflective message // Comput. Hum. Behav., 2017, 66: 345–352.
4. Osipov G.S. Priobretenie znanij intellektual'nymi sistemami: Osnovy teorii i tekhnologii [Acquisition of knowledge by intellectual systems: Fundamentals of theory and technology]. M.: Nauka, Fizmatlit [Science, Fizmatlit], 1997.
5. Miheenkova M.A. Principy i logicheskie sredstva intellektual'nogo analiza sociologicheskih dannyh [Principles and logical tools for the intellectual analysis of sociological data]. Dis. … dokt. tekh. nauk. [Doctoral thesis] M., 2012.
6. Burkovskaya ZH.I., Miheenkova M.A., Finn V.K. Ob intellektual'noj sisteme dlya analiza ehlektoral'nogo povedeniya [Intellectual system for electoral behavior analysis] // IX Nacional'naya konferenciya s mezhdunarodnym uchastiem "Iskusstvennyj intellekt-2004" [ IX National Conference with International Participation "Artificial Intelligence-2004"], 8-11, 2004, Trudy konferencii [Proceedings of the Conference] v. 2 t. T.1. S. 120-128.
7. YAsnickij L.N. O vozmozhnostyah primeneniya metodov iskusstvennogo intellekta v politologii [the opportunities of application of artificial intellectual methods in political science] // Vestn. Perm. un-ta. Ser.: Politologiya [Political science]. 2008. № 2. S. 147-155.
8. Tihomirov I.A., Smirnov I.V., Sochenkov I.V., Devyatkin D.A., SHelmanov A.O., Zubarev D.V., SHvec A.V., Leshkin A.V., Suvorov R.E. Exactus Expert: Poiskovoanaliticheskaya sistema podderzhki nauchnotekhnicheskoj deyatel'nosti [Exactus Expert: Searchanalytical system for supporting scientific and technical activities]/ Trudy trinadcatoj nacional'noj konferencii po iskusstvennomu intellektu s mezhdunarodnym uchastiem KII-2012. [Proceedings of the Thirteenth National Conference on Artificial Intelligence with International Participation KII-2012] B.: BGTU, 2012. T. 4. S. 100-108.
9. Tihomirov I.A., Sochenkov I.B., SHvec A.V. Naukometriya i polnotekstovaya analitika v rossijskih realiyah [Naukometriya and full-text analytics in the Russian realities] // ZHurnal "Naukovedcheskie issledovaniya" [Journal "Science research"]. № 1. S. 197-212.
10. Roganov V.R., Roganova S.M., Novosel'ceva M.E. Metody iskusstvennogo intellekta dlya mashinnogo perevoda tekstov [Methods of artificial intelligence for machine translation of texts]. Penza, 2007.
11. Shelmanov A.O., Kamenskaya M.A., M.I. Anan'eva M.I., Smirnov I.V. Cemantiko-sintaksicheskij analiz tekstov v zadachah voprosno-otvetnogo poiska i izvlecheniya opredelenij [Semantic-syntactic analysis for question answering and definition extraction] //Iskusstvennyj intellekt i prinyatie reshenij. [Artificial Intelligence and Decision Making] M.: ISA RAN. 2016. № 4.S. 47-61.
12. Sochenkov, I., Zubarev, D., Tikhomirov, I., Smirnov, I., Shelmanov, A., Suvorov, R., & Osipov, G. Exactus Like: Plagiarism Detection in Scientific Texts //Advances in Information Retrieval. Springer International Publishing, 2016: 837-840.
13. https://www.ecs.soton.ac.uk/research/projects/746
14. http://compare.openaudio.eu/
15. http://clpsych.org/shared_task/
16. http://clef2017.clef-initiative.eu/index.php
17. Yang, H., Willis, A., de Roeck, A., & Nuseibeh, B. A Hybrid Model for Automatic Emotion Recognition in Suicide Notes // Biomedical Informatics Insights, 2012, 5 (Suppl. 1): 17–30.
18. Coppersmith, G., Dredze, M., Harman, C., Hollingshead, K., & Mitchell, M. Clpsych 2015 shared task: depression and ptsd on twitter //Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, Denver, Colorado, 2015: 31–39.
19. Preoţiuc-Pietro, D., Sap, M., Schwartz, H. A., & Ungar, L. Mental illness detection at the world well-being project for the clpsych 2015 shared task // Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, Denver, Colorado, 2015: 40–45.
20. Mac Kim, S., Wang, Y., Wan, S., & Paris, C.. Data61-csiro systems at the clpsych 2016 shared task // Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology, 2016: 128–132.
21. Malmasi, S., Zampieri, M., & Dras, M. Predicting post severity in mental health forums // Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology, San Diego, CA, USA, 2016: 133–137.
22. Rieger, D., Frischlich, L., & Bente, G. Propaganda 2.0: Psychological effects of right-wing and Islamic extremist Internet videos, 2013. URL: https://www.researchgate.net/publication/264829254
23. Berger, J.M. The Metronome of Apocalyptic Time: Social Media as Carrier Wave for Millenarian Contagion // Perspectives on Terrorism, 2015, 9(4): 61-71.
24. Yang Shan-lin, Zhu Ke-yu, Fu Chao, & Lu Guang-yan. Simulation of the group decision conformity based on cellular automata model // System Engineering-Theory & Practice, 2009, (9): 115-124.
25. Ma Yu-tao, Cai Shu-qin, & Wang Rui Study on the method of identifying opinion leaders based on online customer reviews // Conference: Management Science and Engineering (ICMSE), 2011. URL:https://www.researchgate.net/publication/261275952_Study_on_the_method_of_identifying_opinion_leaders_based_on_online_customer_reviews
26. Barbieri, N., Bonchi, F., & Manco, G. Who to follow and why: Link Prediction with explanations // KDD’14, August 24–27, 2014, New York, NY, USA.
27. Vollenbroek, W., de Vries, S., Constantinides, E., & Kommers, P. Identification of influence in social mediacommunities // Int. J. Web Based Communities, 2014, 10(3).
28. Choudhury, M.D, Gamon, M., Counts, S., & Horvitz, E. Predicting Depression via Social Media // ICWSM, 2013, 2. URL: http://research.microsoft.com/ens/um/people/counts/pubs/depressionicwsm2013.pdf
29. Pennebaker, J.W., Chung, C.K., Ireland, M., Gonzales, A., & Booth, R.J. The Development and Psychometric Properties of LIWC2007. URL: //http://homepage.psy.utexas.edu/homepage/faculty/pennebaker/reprints/liwc2007_languagemanal.pdf
30. Leont'ev A.A. Osnovy psiholingvistiki [Fundamentals of psycholinguistics]. M.: Smysl, 1997.
31. Kurdyumov V.A. Ideya i forma. Osnovy predikacionnoj koncepcii yazyka [Idea and form. Fundamentals of the predicate concept of language]. M.: Voennyj un-t, 1999.
32. Vygotskij L.S. Myshlenie i rech' [Thinking and speaking]. M.: Labirint [Maze], 1999.
33. Kozhina M.N. Rechevedenie. Teoriya funkcional'noj stilistiki [Speech. Theory of functional stylistics.]. M.: FLINTA: NAUKA, 2014.
34. Zolotova G.A., Onipenko N.K., Sidorova M.YU. Kommunikativnaya grammatika russkogo yazyka [Communicative grammar of the Russian language]. M.: In-t rus. yaz. RAN im. V.V. Vinogradova [Institute of Russian language of RAS of V.V. Vinogradov], 2004.
35. Osipov G.S., Smirnov I.V., Tihomirov I.A. Relyacionnosituacionnyj metod poiska i analiza tekstov i ego prilozheniya [Relational-situational method of search and analysis of texts and its applications] // Iskusstvennyj intellekt i prinyatie reshenij [Artificial intelligence and decision making]. 2008. № 2. S. 3-10.
36. Zolotova G.A. Sintaksicheskij slovar': Repertuar ehlementarnyh edinic russkogo sintaksisa [Syntax dictionary: The repertoire of elementary units of Russian syntax]. M.: Nauka [Science], 1988.
37. Salimovskij V.A. Zhanry rechi v funkcional'nostilisticheskom osveshchenie: Russkij nauchnyj akademicheskij tekst [Genres of speech in functional-stylistic lighting: Russian academic academic text]. Diss. … dokt .filol .nauk. [Doctoral thesis], 2002.
38. Devyatkin D.A., Kuznecova YU.M., CHudova N.V. Metody avtomaticheskogo vyyavleniya mental'nyh dejstvij v tekstah nauchnyh publikacij [Methods of automatic detection of mental actions in the texts of scientific publications] // Iskusstvennyj intellekt i prinyatie reshenij [Artificial intelligence and decision making]. 2018. № 2. C. 36-46.