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    Impact of financial news headline and content to market sentiment

    Tan, L. I.; Phang, W. S.; Chin, K. O.; Alfred, R.; Anthony, Patricia
    Abstract
    Business and financial news are important resources that investors referred to when monitoring the stock performance. News brings us the latest information about the stock market. Studies have shown that business and financial news have a strong correlation with future stock performance. Business and financial news can be used to extract sentiments and opinions that may assist in the stock price predictions. In this paper, we present a sentiment analyser for financial news articles using lexicon-based approach. We utilized two most important elements of news, the headline and the content as our test data. We use polarity lexicon to distinguish between positive and negative polarity of each term in the corpus. We further investigate on how news headline will affect the sentiment analysis by adjusting the weights of the news headline and news content’s sentiment value. Three sets of experiments were carried out using headline only, content only and headline and content as test data. In the experiment, we used non-stemming tokens and stemming tokens when considering individual word found in the news article. The preliminary results are presented and discussed in this paper.... [Show full abstract]
    Keywords
    Lexicon; news headline; news content; sentiment analysis
    Fields of Research
    0801 Artificial Intelligence and Image Processing
    Date
    2014-06
    Type
    Journal Article
    Access Rights
    Copyright © 2008-2015. International Journal of Machine Learning and Computing. All rights reserved.
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    • Department of Informatics and Enabling Technologies [109]
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    Impact of Financial News Headline and Content to Market.pdf
    DOI
    https://doi.org/10.7763/IJMLC.2014.V4.418
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    Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
    Citation
    Tan, L., Phang, W., Chin, K., Rayner, A. & Anthony,P. (2014). Impact of Financial News Headline and Content to Market Sentiment. International Journal of Machine Learning and Computing, 4(3), 237-242. doi:10.7763/IJMLC.2014.V4.418
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