A Survey on Sentiment Analysis Algorithms and Datasets

Reena G Bhati ()

Review of Computer Engineering Research, 2019, vol. 6, issue 2, 84-91

Abstract: In this paper we present a deep literature review on existing system for sentimental analysis. Basically sentimental analysis (SA) is the measurement of preference of people’s thoughts via natural language processing. The main aim of sentiment analysis is to know the orientation of the sentiment described in script. In recent decades the researcher focuses on the study various algorithms for relevant research results of the sentiment analysis. This research paper provides a comprehensive overview of this field's latest update. In this review, some recent proposed improvements of algorithms and various SA applications are explored and briefly described. The aim of this paper is to provide knowledge about the different method related to sentimental analysis also how they are classified, what the applications of this analysis.

Keywords: Data mining; Natural language processing (NLP); Sentimental analysis (SA); Convolutional neural network (CNN) unsupervised; Learning; Text mining; Feature representation (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:pkp:rocere:v:6:y:2019:i:2:p:84-91:id:1471

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