Applying Transfer Learning to Sentiment Analysis in Social Media

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)(2021)

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摘要
Context: Sentiment analysis is an NLP technique that can be used to automatically obtain the sentiment of a crowd of end-users regarding a software application. However, applying sentiment analysis is a difficult task, especially considering the need of obtaining enough good quality data for training a Machine Learning (ML) model. To address this challenge, transfer learning can help us save time ...
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关键词
Training,Sentiment analysis,Analytical models,Social networking (online),Conferences,Transfer learning,Software
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