Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Sentiment Analysis Main Tasks and Applications: A Survey

  • Tedmori, Sara (Dept. of Computer Science, King Hussein Faculty of Computing Sciences, Princess Sumaya University for Technology) ;
  • Awajan, Arafat (Dept. of Computer Science, King Hussein Faculty of Computing Sciences, Princess Sumaya University for Technology)
  • Received : 2016.03.14
  • Accepted : 2016.12.06
  • Published : 2019.06.30
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Abstract

The blooming of social media has simulated interest in sentiment analysis. Sentiment analysis aims to determine from a specific piece of content the overall attitude of its author in relation to a specific item, product, brand, or service. In sentiment analysis, the focus is on the subjective sentences. Hence, in order to discover and extract the subjective information from a given text, researchers have applied various methods in computational linguistics, natural language processing, and text analysis. The aim of this paper is to provide an in-depth up-to-date study of the sentiment analysis algorithms in order to familiarize with other works done in the subject. The paper focuses on the main tasks and applications of sentiment analysis. State-of-the-art algorithms, methodologies and techniques have been categorized and summarized to facilitate future research in this field.

Keywords

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Fig. 1. Generic SA architecture.

Table 1. Summary of related SA works

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Table 2. Summary of related feature selection works

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Table 3. Summary of related sentiment classification works

E1JBB0_2019_v15n3_500_t0003.png 이미지

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