twitter_sentiment_bert_scikit

twitter_sentiment_bert_scikit

zhengyima

Twitter US Airline数据集情感分析（sentiment Analysis），使用Bert Sentence encoding作为特征，实现了SVM、XGBoost、RandomForest（随机森林）若干分类器。

twitter
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15 Stars
2 Forks
15 Watchers
Python Language
Cost to Build
$76.1K
Market Value
$72.1K
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Growth over time

4 data points  ·  2021-07-30 → 2022-03-06
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What is the zhengyima/twitter_sentiment_bert_scikit GitHub project? Description: "Twitter US Airline数据集情感分析（sentiment Analysis），使用Bert Sentence encoding作为特征，实现了SVM、XGBoost、RandomForest（随机森林）若干分类器。". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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