zennlyu/985-Good-For-Nothing-Analysis

对豆瓣小组 “985废物引进计划” 进行文本及网络分析,希望了解这批群体对“内卷”话题讨论的特征

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Experimental

This project helps social scientists, researchers, or anyone interested in online community sentiment to understand discussions within specific online groups. It takes raw text data from online forums, like posts and replies, along with user information, and transforms it into insights about popular topics, emotional trends, and how different subjects are interconnected. The output is a detailed analysis that characterizes the community's concerns and prevalent attitudes.

No commits in the last 6 months.

Use this if you need to analyze large volumes of unstructured text data from online communities to uncover thematic discussions, identify key topics, and understand the overall sentiment of the group.

Not ideal if you require real-time sentiment analysis or need to analyze data types other than text from online forum discussions.

social-media-analysis online-community-research text-mining sentiment-analysis topic-modeling
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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Language

Python

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Last pushed

Jun 30, 2025

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