Skip to main content

基于三分类的中文情感分析

Project description

基于三分类的文本情感分析

基于bert模型,能够识别文本postive, neutral, negative三种情感。

安装

pip install bhsenti

使用

import bhsenti

pre = bhsenti.predict("待预测文本")
pre_info = bhsenti.predict_info("待预测文本")

print(pre)
# 积极
print(pre_info)
# {'text': '待预测文本', 'result': '积极', 'classes': 2, 'score': [0.3605044484138489, 0.009216712787747383, 0.6302788257598877]}
  • text: str 接收到的文本,
  • result: str 预测结果,
  • classes: int 情感类别序号: 0.消极 1.中性 2.积极,
  • score: list[double] 每个类别的预测得分

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bhsenti-0.0.3.tar.gz (76.6 kB view hashes)

Uploaded Source

Built Distribution

bhsenti-0.0.3-py3-none-any.whl (73.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page