celtics1863/envtext
中文环境领域文本分析包，纯神经网络架构，支持EnvBert,LSTM,RNN,word2vec等模型，支持自定义模型，下游任务包括分类，回归，多选，情感分析，命名实体识别等，专题包括气候变化文本分析，环境知识图谱等。针对领域研究进行了接口的优化，一键使用模型。
This tool helps environmental researchers and practitioners analyze Chinese text related to the environment. You input environmental documents like news articles, research papers, or policy texts, and it outputs classifications (e.g., topic, policy type, news category), identified environmental terms, or sentiment analysis. This is designed for experts in environmental studies who work with large volumes of Chinese text.
No commits in the last 6 months. Available on PyPI.
Use this if you are an environmental scientist, policymaker, or researcher needing to quickly categorize, understand, or extract information from Chinese environmental texts without deep programming knowledge.
Not ideal if your primary need is general-purpose Chinese text analysis outside the environmental domain or if you prefer to build complex neural network models from scratch with full granular control.
Stars
37
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 19, 2023
Commits (30d)
0
Dependencies
11
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