Improving Polarity Classification for Financial News Using Semantic Similarity Techniques
This article discusses polarity classification for financial news articles. The proposed Semantic Sentiment Analyser makes use of semantic similarity techniques, sentiment composition rules, and the Positivity/Negativity (P/N) ratio in performing polarity classification. An experiment was conducted...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2018
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| Online Access: | https://eprints.ums.edu.my/id/eprint/25225/1/Improving%20Polarity%20Classification%20for%20Financial%20News%20Using%20Semantic%20Similarity%20Techniques.pdf https://eprints.ums.edu.my/id/eprint/25225/ https://doi.org/10.4018/IJIIT.2018100103 |
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| Institution: | Universiti Malaysia Sabah |
| Language: | English |