UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDA06011


Registration ID:
221488

Page Number

55-59

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Title

SENTIMENT ANALYSIS FOR FINANCIAL NEWS AND ARTICLES

Abstract

Mining financial text documents and understanding the sentiments of individual investors, institutions and markets is an important and challenging problem in the literature. Current approaches to mine sentiments from financial texts largely rely on domain specific dictionaries. However, dictionary based methods often fail to accurately predict the polarity of financial texts. This paper aims to improve the state-of-the-art and introduces a novel sentiment analysis approach that employs the concept of financial and non-financial performance indicators. It presents an association rule mining based hierarchical sentiment classifier model to predict the polarity of financial texts as positive, neutral or negative.

Key Words

Sentiment analysis, Financial news, Performance indicators, Text mining, Machine learning, Classification.

Cite This Article

"SENTIMENT ANALYSIS FOR FINANCIAL NEWS AND ARTICLES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.55-59, May 2019, Available :http://www.jetir.org/papers/JETIRDA06011.pdf

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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

"SENTIMENT ANALYSIS FOR FINANCIAL NEWS AND ARTICLES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp55-59, May 2019, Available at : http://www.jetir.org/papers/JETIRDA06011.pdf

Publication Details

Published Paper ID: JETIRDA06011
Registration ID: 221488
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 55-59
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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