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  1. Home
  2. Volume 7, Issue 10
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Online ISSN: 2515-8260

Volume7, Issue10

Survey On Aspect Based Sentiment Analysis Using Machine Learning Techniques

    Syam Mohan E R. Sunitha

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 1664-1684

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Abstract

Web 2.0 facilitates the expression of views through diverse Internet applications which serve as a rich source of information. The textual expressions have latent information that when processed and analysed reveal the sentiment of the user/people. This is known as sentiment analysis, which is the process of computationally extracting the opinions and viewpoints from textual data and it is also known as opinion mining, review mining or attitude mining, etc. Aspect-level sentiment analysis is one among the three main types of sentiment analysis, where granule level processing takes place in which the different aspects of entities are harnessed to identify the sentiment orientations. The emergence of machine learning and deep learning techniques has made a striking mark towards aspect-oriented sentiment analysis. This paper presents a survey and review of different works from the recent literature on aspect-based sentiment analysis done using machine learning techniques.
Keywords:
    sentiment analysis Aspect Based Sentiment Analysis Machine Learning Deep learning
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(2021). Survey On Aspect Based Sentiment Analysis Using Machine Learning Techniques. European Journal of Molecular & Clinical Medicine, 7(10), 1664-1684.
Syam Mohan E; R. Sunitha. "Survey On Aspect Based Sentiment Analysis Using Machine Learning Techniques". European Journal of Molecular & Clinical Medicine, 7, 10, 2021, 1664-1684.
(2021). 'Survey On Aspect Based Sentiment Analysis Using Machine Learning Techniques', European Journal of Molecular & Clinical Medicine, 7(10), pp. 1664-1684.
Survey On Aspect Based Sentiment Analysis Using Machine Learning Techniques. European Journal of Molecular & Clinical Medicine, 2021; 7(10): 1664-1684.
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