Feuoy/sentiment-analysis
用MLP、TextCNN、RNN、LSTM、GRU、Attention、RCNN、BERT做文本分类、情感分析，对比各模型于温泉旅游评论垂类语料下在情感分类任务上的表现
This project helps tourism businesses and market researchers understand customer sentiment from online reviews. It takes Chinese text reviews about hot spring tourism and classifies them as positive, negative, or neutral, providing insights into customer opinions. Business analysts, marketing managers, and product managers in the tourism sector would find this useful.
101 stars. No commits in the last 6 months.
Use this if you need to quickly assess the general mood and specific feedback within a collection of Chinese hot spring tourism reviews.
Not ideal if your reviews are in a different language or about a different industry, as the models are specifically trained on hot spring tourism comments.
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101
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Jupyter Notebook
License
MIT
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Last pushed
May 19, 2021
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