# CarryChang/Customer\_Satisfaction\_Analysis

<https://repo.masters-masters.com/en/repos/CarryChang/Customer_Satisfaction_Analysis>

[Home](https://repo.masters-masters.com/en) › [CarryChang](https://repo.masters-masters.com/en/owners/CarryChang) › [Customer\_Satisfaction\_Analysis](https://repo.masters-masters.com/en/repos/CarryChang/Customer_Satisfaction_Analysis)

CarryChang/Customer\_Satisfaction\_Analysis has 452 stars on GitHub. Its RepoMasters card: Alpha tier. 基于在线民宿 UGC 数据的意见挖掘项目，包含数据挖掘和NLP… Language: Python.

| Field | Value |
| --- | --- |
| Owner | [CarryChang](https://repo.masters-masters.com/en/owners/CarryChang) |
| Stars | 452 |
| Forks | 130 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | customer-satisfaction-analysis, nlp-machine-learning, sentiment-analysis, litnlp |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [CarryChang/Customer\_Satisfaction\_Analysis](https://github.com/CarryChang/Customer_Satisfaction_Analysis) |

## Repository

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。

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.