English and Malay Cross-lingual Sentiment Lexicon Acquisition and Analysis
| Autor: | Muhamad Taufik Abdullah, Rabiah Abdul Kadir, Azreen Azman, Nurul Amelina Nasharuddin |
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| Rok vydání: | 2017 |
| Předmět: |
Cross lingual
Computer science business.industry InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Sentiment analysis 02 engineering and technology computer.software_genre Lexicon Part of speech ComputingMethodologies_ARTIFICIALINTELLIGENCE language.human_language Test (assessment) Set (abstract data type) Negation 020204 information systems 0202 electrical engineering electronic engineering information engineering language 020201 artificial intelligence & image processing Artificial intelligence InformationSystems_MISCELLANEOUS business computer Natural language processing Malay |
| Zdroj: | Information Science and Applications 2017 ISBN: 9789811041532 ICISA |
| Popis: | Sentiment analysis finds opinions, sentiments or emotions in user-generated contents. Most efforts are focusing on the English language, for which a large amount of sources and tools for sentiment analysis are available. The objective of this paper is to introduce a cross-lingual sentiment lexicon acquisition method for the Malay and English languages and further being test on a set of news test collections. Several part of speech tags are being experimented using the Word Score Summation technique in order to classify the sentiment of the news articles. This method records up to 50% as experimental accuracy result and works better for verbs and negations in both the English and Malay news articles. |
| Databáze: | OpenAIRE |
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