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# 221017000220 | ||
# Report | ||
This NLP project is a sentimental classification model based upon the dataset on Weibo, China's version of Twitter. | ||
![image](https://github.com/ZhangLockerberg/nlp23projects/assets/68580303/0cf580ec-d5b7-4bbe-9061-bcb8152b0551) | ||
![image](https://github.com/ZhangLockerberg/nlp23projects/assets/68580303/61fca2c4-736c-4c50-b8b0-aaec618cbd97) | ||
The training process employs keras framework and achieved 92.64% accuracy, thus no pretrained NLP model is involved. The accuracy was improved by introducing LSTM layers.(see charts below) | ||
![image](https://github.com/ZhangLockerberg/nlp23projects/assets/68580303/c5a68a4c-d93d-4ddb-ac1d-dd2ca2f3e092) | ||
![image](https://github.com/ZhangLockerberg/nlp23projects/assets/68580303/47ac6672-6004-4454-b42f-a62ffa720493) |