Empirical Study of Machine Learning Based Approach for Opinion Mining in Tweets

  title={Empirical Study of Machine Learning Based Approach for Opinion Mining in Tweets},
  author={Grigori Sidorov and Sabino Miranda-Jim{\'e}nez and Francisco Viveros Jim{\'e}nez and Alexander F. Gelbukh and No{\'e} Alejandro Castro-S{\'a}nchez and Francisco Velasquez and Ismael D{\'i}az-Rangel and Sergio Su{\'a}rez Guerra and Alejandro Trevi{\~n}o and Juan Gordon},
Opinion mining deals with determining of the sentiment orientation—positive, negative, or neutral—of a (short) text. Recently, it has attracted great interest both in academia and in industry due to its useful potential applications. One of the most promising applications is analysis of opinions in social networks. In this paper, we examine how classifiers work while doing opinion mining over Spanish Twitter data. We explore how different settings (n-gram size, corpus size, number of sentiment… CONTINUE READING
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