Sentiment Analysis of Short Informal Text by Tuning BERT - Bi-LSTM Model

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies(2021)

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摘要
Sentiment analysis is one of the significant tasks in processing natural language by a machine. However, it is difficult for a machine to understand the feelings of a person and opinion about a topic. Many approaches have been introduced for analyzing sentiment from long text in recent past. In contrast, these approaches fail to address the small length text problem like Twitter data efficiently. ...
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关键词
Sentiment analysis,Analytical models,Social networking (online),Bit error rate,Blogs,Natural languages,Transformers
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