Knowledge Commons of Institute of Automation,CAS
Constructing a Chinese Conversation Corpus for Sentiment Analysis | |
Zhou, Yujun![]() ![]() ![]() ![]() ![]() | |
2017 | |
会议名称 | the Sixth Conference on Natural Language Processing and Chinese Computing (NLPCC) |
会议日期 | November 8-12, 2017 |
会议地点 | Dalian, China |
摘要 | Sentiment analysis plays an important role in many applications. This paper introduces our ongoing work related to the sentiment analysis on Chinese conversation. The main purpose is to construct a Chinese conversation corpus for sentiment analysis and provide a benchmark result on this corpus. To explore the effectiveness of machine learning based approaches for sentiment analysis on Chinese conversation,we firstly collected conversational data from some online English learning websites and our instant messages, and manually annotated it with three sentiment polarities and 22 fine-grained emotion classes. Then we applied multiple representative classification methods to evaluate the corpus. The evaluation results provide good suggestions for the future research. And we will release the corpus with gold standards publicly for research purposes. |
关键词 | Chinese Conversation Short Text Sentiment Analysis Machine Learning Deep Neural Networks |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41053 |
专题 | 复杂系统认知与决策实验室_听觉模型与认知计算 |
通讯作者 | Li, Changliang |
推荐引用方式 GB/T 7714 | Zhou, Yujun,Li, Changliang,Xu, Bo,et al. Constructing a Chinese Conversation Corpus for Sentiment Analysis[C],2017. |
条目包含的文件 | 条目无相关文件。 |
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