中文对话情感分析数据集
A Chinese sentiment dataset for sentiment analysis, derived from human-computer conversation logs and segmented using Jieba.
Score
30
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
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Last Updated
Apr 23, 2026
Overview
What is 中文对话情感分析数据集?
This is a Chinese sentiment dataset designed for sentiment analysis tasks. It includes manually and automatically labeled instances from conversation logs, segmented with Jieba, and is useful for training machine learning models.
What is 中文对话情感分析数据集 used for?
Top Features
- Chinese language data
- Manually and automatically labeled instances
- Segmented with Jieba tool
- Derived from conversation logs
How to use 中文对话情感分析数据集?
Download the dataset files (e.g., sentiment_XS_test.txt, sentiment_XS_30k.txt) from the repository, preprocess as needed, and use them for training or evaluating sentiment analysis models in Chinese.
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Pros & Cons
Pros
- Free and open-source
- Useful for research and development
- Includes both test and training data
Cons
- Limited to Chinese language
- May require preprocessing
- No active updates or support
Use Cases
- Sentiment analysis research
- Machine learning model training
- Academic projects in NLP
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