التفاصيل البيبلوغرافية
| العنوان: |
Sentiment analysis of emotional words in a classical text web corpus. |
| المؤلفون: |
Rosli, Nurul Norasuwat, Hamzah, Nordiana, Zaini, Muhamad Fadzllah, Baharum, Hasrina, Mohd, Farra Humairah, Jabar, Nordiana Ab, Damit, Ashrol Rahimy, Omar, Rosmani |
| المصدر: |
AIP Conference Proceedings; 2022, Vol. 2644 Issue 1, p1-8, 8p |
| مصطلحات موضوعية: |
SENTIMENT analysis, CORPORA, VOCABULARY |
| مستخلص: |
This study explores the emotional words based on sentiment analysis. The term 'emotional words' refers to feeling-related words that explain an individual's emotions. This study employed data from a corpus site, namely the Malay Concordance Project, a compilation of l65 texts and 5.8 million words, including l40, 000 versions of text. An analysis sentiment model was employed through collostructure. This model combined a number of pertinent elements, including the basic corpus approach, basic word approach and basic dictionary approach. Three emotional words were chosen based on their high degree of representativeness in the corpus context. These were anger-related words for the emotion of anger, amok/rage-related words for the emotion of rage, and revenge-related words for the emotion of revenge. The results from the testing of the words anger and rage showed negative sentiments; meanwhile, revenge-based words exhibited positive sentiments. This was because the context of the collostructure facilitates sentiment data reading and can be carefully filtered. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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