Abstract

Over the past few years the sentiment analysis task of users' posts in social networks has become very popular among researchers. In this paper, authors present and describe the developed multi-lingual knowledge-based approach of sentiment analysis in major conflict ad hoc discussions of the social network Twitter. An experiment is made in which the quality of the proposed method is evaluated with different parameters on two real ad hoc discussions: Ferguson unrest (USA) and Biryuliovo bashings (Russia). The results of the experiment show a good quality of the sentiment analysis of the discussions. In particular, the average value of the accuracy of Russian and English is 0.65, and the f-measure is 0.7.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018
EditorsKlyuev Vitaly, Pyshkin Evgeny, Natalia Bogach
PublisherAssociation for Computing Machinery
Pages117-121
Number of pages5
ISBN (Electronic)9781450365161
DOIs
Publication statusPublished - 1 Nov 2018
Event3rd International Conference on Applications in Information Technology, ICAIT 2018 - Aizu-Wakamatsu
Duration: 1 Nov 20183 Nov 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd International Conference on Applications in Information Technology, ICAIT 2018
CountryJapan
CityAizu-Wakamatsu
Period1/11/183/11/18

Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Fingerprint Dive into the research topics of 'Sentiment analysis for ad hoc discussions using multilingual knowledge-based approach'. Together they form a unique fingerprint.

Cite this