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.
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CITATION STYLE
Loukachevitch, N., & Rubtsova, Y. (2015). Entity-oriented sentiment analysis of tweets: Results and problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9302, pp. 551–559). Springer Verlag. https://doi.org/10.1007/978-3-319-24033-6_62
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