Document Level Sentiment Analysis for Product Review using Dictionary Based Approach
|International Journal of Computer Science and Engineering|
|© 2017 by SSRG - IJCSE Journal|
|Volume 4 Issue 6|
|Year of Publication : 2017|
|Authors : Paramita Ray|
How to Cite?
Paramita Ray, "Document Level Sentiment Analysis for Product Review using Dictionary Based Approach," SSRG International Journal of Computer Science and Engineering , vol. 4, no. 6, pp. 24-29, 2017. Crossref, https://doi.org/10.14445/23488387/IJCSE-V4I6P105
In recent times, people share their opinions, ideas through social networking site, electronic media etc. Different organizations always want to find public opinions about their products and services. Individual consumers also want to know the opinions from existing users before purchasing product. Sentiment analysis is the computational treatment of user’s opinions, sentiments and subjectivity of text. In this paper we propose a framework for sentiment analysis using R software which can analyze sentiment of users on Twitter data using Twitter API. Our methodology involves collection of data from twitter, its preprocessing and followed by a lexicon based approach to analyze user’s sentiment.
Twitter, Sentiment Analysis, Lexical Analysis.
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