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Entity-Oriented Sentiment Analysis of Tweets: Results and Problems

  • Natalia LoukachevitchEmail author
  • Yuliya Rubtsova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9302)

Abstract

This paper summarizes the results of the reputation-oriented Twitter task, which was held as part of SentiRuEval evaluation of Russian sentiment-analysis systems. The tweets in two domains: telecom companies and banks - were included in the evaluation. The task was to determine if an author of a tweet has a positive or negative attitude to a company mentioned in the message. The main issue of this paper is to analyze the current state and problems of approaches applied by the participants.

Keywords

Sentiment analysis Sentiment classification Social network 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Research Computing CenterMoscow State UniversityMoscowRussia
  2. 2.A.P. Ershov Institute of Informatics SystemsSiberian Branch of the Russian Academy of SciencesNovosibirskRussia

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