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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 1, JANUARY 2017

Sentiment Analysis Tool

Prof. Ajitkumar Khachane, Lakshya Kumar, Chandresh Jain, Ashay Shah

DOI: 10.17148/IJARCCE.2017.6182

Abstract: Since the advent of Internet, and later on Social Media and E-commerce websites, people have started expressing themselves more and more online instead of on paper. This give businesses and organizations an opportunity to analyze views and interests of people in accordance with a set of provided keywords, time duration, geographic locations, age group and thus. Following the human nature of curiosity, collecting a selected set of opinions and sentiments and then topic-oriented analysis allows extraction of rich information that would help make smarter business decisions, political campaigns and better product consumption.



Keywords: Sentiment Analysis; Natural Language Processing.

How to Cite:

[1] Prof. Ajitkumar Khachane, Lakshya Kumar, Chandresh Jain, Ashay Shah, “Sentiment Analysis Tool,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6182