Analyze CarryChang/Customer_Satisfaction_Analysis

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。

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

Python

Apache License 2.0

Overview

Summary of the overall repo health

Adoption

Metrics on how many people know and interact with the repo

Stars

402

Open Issues

Forks

125

Top 1% by stars on GitHub

Excluding zero-starred repos

Contribution

Top Contributors

Top 10 contributors to the repo and their shares

Commits Properties

Metrics showing the quality of commits distribution

Bus Factor

Serious Ratio

Bus factor is less than 10

Diversity

Geo Distribution

Top locations by number of contributors and commits

commits

contributors

Org Distribution

Top organizations contributing to the repo

commits

contributors

Governance

Community governance docs check

Description
Website
Code of Conduct
Contributing.md
Issue Template
PR Template
License
README

Half of the checks (4/8)