ASPECT-BASED SENTIMENT ANALYSIS IN INDONESIAN LANGUAGE USING GENERATIVE PRE-TRAINED LANGUAGE MODEL WITH MULTITASK LEARNING AND PROMPTING APPROACH
Aspect-based sentiment analysis is a method in natural language processing aimed at identifying and understanding sentiments related to specific aspects of an entity. Aspects refer to words or phrases representing attributes or features of a particular entity. Previous research has utilized generati...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/75263 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |