CarryChang / Customer_Satisfaction_Analysis

基于在线民宿 UGC 数据的意见挖掘项目，包含数据挖掘和NLP 相关的处理，负责数据采集、主题抽取、情感分析等任务。目的是克服用户打分和评论不一致，实时对在线民宿的满意度评测，包含在线评论采集和情感可视化分析。搭建了百度地图POI查询入口，可以进行自动化的批量查询 POI 信息的功能；构建了基于在线民宿语料的 LDA 自动主题聚类模型，利用主题中心词能找出对应的主题属性字典；以用户打分作为标注，然后 litNlp 自带的字符级 TextCNN 进行情感分析，将情感分类概率分布作为情感趋势，最后通过 POI 热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。

Date Created 2018-12-21 (6 years ago)

Commits 63 (last one about a month ago)

Stargazers 413 (2 this week)

Watchers 13 (0 this week)

Forks 127

License apache-2.0

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RepositoryStats indexes 595,856 repositories, of these CarryChang/Customer_Satisfaction_Analysis is ranked #105,586 (82nd percentile) for total stargazers, and #166,788 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #17,757/119,431.

CarryChang/Customer_Satisfaction_Analysis is also tagged with popular topics, for these it's ranked: sentiment-analysis (#59/250)

Other Information

Homepage URL: https://github.com/CarryChang/Real_Time_DataMining_Software

All Topics

litnlp sentiment-analysis nlp-machine-learning customer-satisfaction-analysis

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3 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2024-12-20 @ 07:40am, id: 162680457 / R_kgDOCbJOiQ