https://github.com/kimmeen/weibo-analyst

Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类
https://github.com/kimmeen/weibo-analyst

crawler lda sentiment-analysis weibo word-clouds

Last synced: 4 days ago
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Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类

• Host: GitHub
• URL: https://github.com/kimmeen/weibo-analyst
• Owner: KimMeen
• License: apache-2.0
• Created: 2018-01-25T15:09:27.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-08-08T12:03:58.000Z (over 5 years ago)
• Last Synced: 2023-10-20T20:59:04.385Z (about 1 year ago)
• Topics: crawler, lda, sentiment-analysis, weibo, word-clouds
• Language: Python
• Homepage:
• Size: 45 MB
• Stars: 660
• Watchers: 19
• Forks: 172
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## About This Repository

**Please follow the restrictions in Apache-2.0 Licence before you refer to this repository.** 

**@Ming Jin** (*[email protected]*)

This repository is a simple NLP project for beginners and will be updated occasionally.

Environment: Python3.6

**Pull requests are always welcome!**

To-do list:

1. Sentiment analysis can be done by using LSTM.

2. Crawler can be improved based on some libraries like BeautifulSoup.

## Introduction

这是一个微博评论分析工具，实现功能主要有：

1. 微博评论数据爬取

2. 分词与关键词提取

3. 词云与词频统计

4. 情感分析

5. 主题聚类

正常状态下实现效果在: “ 案例：泰国大象踩踏伤人事件 ”

注意：案例中最后表格需要自己根据LDA结果进行统计

This is a Weibo comments processing toolbox, which has been implemented for:

1. Weibo comments crawler that based on regular expression

2. Tokenization, filtration and key words extraction

3. Words cloud and visualization

4. Sentiment analysis

5. Topic clustering that based on LDA

## Pre-Requirements Checklist

*MySQL is required (e.g., You may use MySQL Workbench)*

1. importlib

2. sys

3. time

4. requests

5. lxml

6. pymysql

7. jieba

8. PIL

10. wordcloud

11. snownlp

12. logging

13. configparser

14. random

15. codecs

## Citing The Code

BibTex reference format:

```

@misc{WeiboAnalyst,

title={Weibo-Analyst: An Open-Source Python Library for Social Media Comments Analysis},

url={https://github.com/KimMeen/Weibo-Analyst},

author={Ming Jin},

year={2018}

}

```