Improved sentence embeddings of pre-trained language model for Malay-English text sentiment classification

Sentiment classification gains traction once Natural Language Processing (NLP) algorithms have demonstrated their ability to parse complicated words and accurately classify them especially in e-commerce. Pre-trained language models like BERT have been effective in improving the sentiment analysis. H...

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书目详细资料

主要作者:	Kit, Yu Heng
格式:	Thesis
语言:	英语
出版:	Universiti Teknologi Malaysia 2026
主题:	General Works::Science::Electronic computers. Computer science General Works::Technology::Information technology Sustainable Development Goals (SDG)::Industry, Innovation and Infrastructure (SDG 9)
在线阅读:	https://utmik.utm.my/handle/123456789/190751
Abstract	Abstract here