中文情感词典
A Python library for expanding Chinese sentiment dictionaries using co-occurrence and word vector methods to improve text analysis accuracy.
Score
50
User Rating
1.0
Free/Trial Support
Not Supported
Starting Price
--
Last Updated
Apr 23, 2026
Overview
What is 中文情感词典?
WordExpansion is a tool for automatically building or expanding Chinese sentiment dictionaries. It uses co-occurrence (SO-PMI) and word embedding techniques to generate candidate words from seed words, helping create domain-specific dictionaries for sentiment analysis without relying solely on adjectives.
What is 中文情感词典 used for?
User Groups
Top Features
- Co-occurrence method for sentiment word expansion
- Word vector method using word2vec
- Supports Chinese and English text processing
- Easy integration with Python pipelines
How to use 中文情感词典?
Install via pip, prepare seed words and corpus text files, then run scripts to generate positive and negative candidate words. Use co-occurrence for simple expansion or word vectors for semantic similarity-based expansion.
Alternative Tools
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Pros & Cons
Pros
- Automates dictionary building, saving manual effort
- Improves sentiment analysis accuracy by including non-adjective words
- Open-source and free to use
- Flexible for different domains
Cons
- Requires manual seed word preparation
- Performance depends on corpus quality
- Limited to text-based input
Use Cases
- Enhancing sentiment analysis in NLP projects
- Building custom dictionaries for specific industries like tech or marketing
- Academic research in computational linguistics
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