Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Student Rese 2015
DOI: 10.3115/v1/n15-2007
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Entity/Event-Level Sentiment Detection and Inference

Abstract: Turnout has decreased in 23 out of 36 established democracies since 1945. Among all worldwide cases Costa Rica is a good laboratory for studying turnout oscillations. During three decades between 1958 and 1994, political participation average rates remained high in a comparative perspective. Following that trend, one would easily predict that individuals socialized during that period of time must replicate automatically their parents' and grandparents' levels of high political activism. However, turnout patter… Show more

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“…Sentiment analysis can also be dependent upon a particular topic [4], [9], [30], entity or event [31]. Topics can be classified as explicit topics such as keywords or hashtags [4] given or implicit topics such as latent or hidden topics generated by dimension reduction algorithms [30].…”
Section: Related Workmentioning
confidence: 99%
“…Sentiment analysis can also be dependent upon a particular topic [4], [9], [30], entity or event [31]. Topics can be classified as explicit topics such as keywords or hashtags [4] given or implicit topics such as latent or hidden topics generated by dimension reduction algorithms [30].…”
Section: Related Workmentioning
confidence: 99%