A Survey of Approaches for Sentiment Analysis and Applications of OMSA beyond Product Evaluation

A Survey of Approaches for Sentiment Analysis and Applications of OMSA beyond Product Evaluation

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-46 Number-7
Year of Publication : 2017
Authors : Mrs. Mukta Raut, Mrs. Mayura Kulkarni, Prof. Sunita Barve
DOI :  10.14445/22315381/IJETT-V46P266

Citation 

Mrs. Mukta Raut, Mrs. Mayura Kulkarni, Prof. Sunita Barve "A Survey of Approaches for Sentiment Analysis and Applications of OMSA beyond Product Evaluation", International Journal of Engineering Trends and Technology (IJETT), V46(7),396-400 April 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Sentiment analysis has been in the forefront in research in machine learning for a couple of decades. The need for sentiment classification arises from the upsurge of online trading, where customer satisfaction is crucial. Yet, as there is no face-to-face interaction between producer and consumer, feedback in form of text review, star ratings, comments, discussions on the blogs, and so on play an important part in product or service evaluation. This is where opinion mining and sentiment analysis (OMSA) comes into picture. Sentiment analysis of online reviews and other user generated content is an important research problem for its wide range of applications. In this paper we present a survey of different approaches for sentiment analysis and combining them to form a system with best features from several approaches. between concept-level and aspect level sentiment analysis. We further discuss different techniques used to perform OMSA and the applications of OMSA in the stand alone systems and as embedded systems in human-agent interaction and embodied conversational agents.

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Keywords
machine learning, sentiment analysis, human-agent interactions, embedded conversational agents.