UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 5
May-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1505014


Registration ID:
150374

Page Number

1407-1410

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Title

Web Based Sentiment Analysis for Stock Market

Abstract

With the sudden growth of social media, sentiment analysis has developed fastly in recent years. Finding the opinion sites and monitoring them on the web is difficult task. So there is a need for automatic opinion discovery systems. Sentiment analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. Sentimental analysis plays a major role in data mining and research. The goal of sentiment analysis is to find the sentiment polarity of texts or documents. This paper deals with finding sentiment polarity for stock market.

Key Words

Sentiment analysis, opinion mining, rule based, learning based.

Cite This Article

"Web Based Sentiment Analysis for Stock Market", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 5, page no.1407-1410, May-2015, Available :http://www.jetir.org/papers/JETIR1505014.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Web Based Sentiment Analysis for Stock Market", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 5, page no. pp1407-1410, May-2015, Available at : http://www.jetir.org/papers/JETIR1505014.pdf

Publication Details

Published Paper ID: JETIR1505014
Registration ID: 150374
Published In: Volume 2 | Issue 5 | Year May-2015
DOI (Digital Object Identifier):
Page No: 1407-1410
Country: Saravanampatti, Coimbatore., Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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