Analysing market sentiment in financial news using lexical approach
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 i...
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Format: | Conference or Workshop Item |
Language: | English English |
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2013
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Online Access: | https://eprints.ums.edu.my/id/eprint/31051/1/Analysing%20market%20sentiment%20in%20financial%20news%20using%20lexical%20approach_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31051/2/Analysing%20market%20sentiment%20in%20financial%20news%20using%20lexical%20approach.pdf |
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author | Tan, Li Im Phang, Wai San Chin, Kim On Rayner Alfred Patricia Anthony |
author_facet | Tan, Li Im Phang, Wai San Chin, Kim On Rayner Alfred Patricia Anthony |
author_sort | Tan, Li Im |
collection | UMS |
description | 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. |
first_indexed | 2024-03-06T03:11:59Z |
format | Conference or Workshop Item |
id | ums.eprints-31051 |
institution | Universiti Malaysia Sabah |
language | English English |
last_indexed | 2024-03-06T03:11:59Z |
publishDate | 2013 |
record_format | dspace |
spelling | ums.eprints-310512021-11-16T07:44:12Z https://eprints.ums.edu.my/id/eprint/31051/ Analysing market sentiment in financial news using lexical approach Tan, Li Im Phang, Wai San Chin, Kim On Rayner Alfred Patricia Anthony HG4501-6051 Investment, capital formation, speculation 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. 2013 Conference or Workshop Item PeerReviewed text en https://eprints.ums.edu.my/id/eprint/31051/1/Analysing%20market%20sentiment%20in%20financial%20news%20using%20lexical%20approach_ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/31051/2/Analysing%20market%20sentiment%20in%20financial%20news%20using%20lexical%20approach.pdf 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) https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6735064&casa_token=K8BkSGlE9Z4AAAAA:OXAGxP3NQP8ZaGRegFkleQW9iwLjMEe8v7-noMT8kMV4tk1812IaDyMOp2yJHTu_NN21qft0JO0&tag=1 |
spellingShingle | HG4501-6051 Investment, capital formation, speculation Tan, Li Im Phang, Wai San Chin, Kim On Rayner Alfred Patricia Anthony Analysing market sentiment in financial news using lexical approach |
title | Analysing market sentiment in financial news using lexical approach |
title_full | Analysing market sentiment in financial news using lexical approach |
title_fullStr | Analysing market sentiment in financial news using lexical approach |
title_full_unstemmed | Analysing market sentiment in financial news using lexical approach |
title_short | Analysing market sentiment in financial news using lexical approach |
title_sort | analysing market sentiment in financial news using lexical approach |
topic | HG4501-6051 Investment, capital formation, speculation |
url | https://eprints.ums.edu.my/id/eprint/31051/1/Analysing%20market%20sentiment%20in%20financial%20news%20using%20lexical%20approach_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31051/2/Analysing%20market%20sentiment%20in%20financial%20news%20using%20lexical%20approach.pdf |
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