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Uses of Machine Translation in the Sentiment Analysis of Tweets
Jānis Peisenieks, Raivis Skadiņš
126 - 131
10.3233/978-1-61499-442-8-126
Frontiers in Artificial Intelligence and Applications
Volume 268: Human Language Technologies – The Baltic Perspective
Abstract

This paper reports on the viability of using machine translation (MT) for determining the original sentiment of tweets, when translating tweets made in internationally less used language into more frequently used ones. The results of the study show that it is possible to use MT and sentiment analysis (SA) systems to produce SA results with significant precision.

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