Sentiment classification of unstructured data using lexical based techniques
Sentiment analysis is the computational study of people’s opinion or feedback, attitudes, and emotions toward entities, individuals, issues, events, topics and their attributes. There are many research conducted for other languages such as English, Spanish, French, and German. However, lack of resea...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM
2014
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/19229/2/6497-17951-1-SM.pdf http://eprints.utem.edu.my/id/eprint/19229/ https://journals.utm.my/jurnalteknologi/article/view/6497/4298 http://dx.doi.org/10.11113/jt.v77.6497 |
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| Summary: | Sentiment analysis is the computational study of people’s opinion or feedback, attitudes, and emotions toward entities, individuals, issues, events, topics and their attributes. There are many research conducted for other languages such as English, Spanish, French, and German. However, lack of research is conducted to harvest the information in Malay words and structure them into a meaningful data. The objective of this paper is to introduce a lexical based
method in analysing sentiment of Facebook comments in Malay. Three types of lexical based techniques are implemented in order to identify the sentiment of Facebook comments. The techniques used are term counting, term score summation and average on comments. The comparison of accuracy, precision and recall for all techniques are computed. The result shows that the average on
comments method outperforms the other two techniques |
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