Tan, Li Im and Phang, Wai San and Chin, Kim On and Rayner Alfred and Patricia Anthony (2013) Analysing market sentiment in financial news using lexical approach. In: 2013 IEEE Conference on Open Systems (ICOS), 2-4 December 2013, Kuching, Malaysia. (In Press)
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Abstract
Business and financial news bring us the latest information about the stock market. Studies have shown that business and financial news have a strong correlation with future stock performance. Therefore, extracting sentiments and opinions from business and financial news is useful as it may assist in the stock price predictions. In this paper, we present a sentiment analyser for financial news articles using lexicon-based approach. We use polarity lexicon to identify the positive or negative polarity of each term in the corpus. We conducted two sets of experiment using non-stemming tokens and stemming tokens by considering individual word found in the newspaper. The preliminary results are presented and discussed in this paper.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keyword: | Sentiment analysis , Lexicon , Market analysis , Stock market prediction |
| Subjects: | H Social Sciences > HG Finance > HG1-9999 Finance > HG4501-6051 Investment, capital formation, speculation |
| Department: | FACULTY > Faculty of Computing and Informatics |
| Depositing User: | SAFRUDIN BIN DARUN - |
| Date Deposited: | 16 Nov 2021 15:44 |
| Last Modified: | 16 Nov 2021 15:44 |
| URI: | https://eprints.ums.edu.my/id/eprint/31051 |
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