hxycorn / Twitter-Sentiment-Analysis-about-ChatGPT

A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.

Date Created 2023-03-02 (about a year ago)

Commits 41 (last one about a year ago)

Stargazers 49 (0 this week)

Watchers 2 (0 this week)

Forks 11

License unknown

Ranking

RepositoryStats indexes 528,822 repositories, of these hxycorn/Twitter-Sentiment-Analysis-about-ChatGPT is ranked #433,370 (18th percentile) for total stargazers, and #445,309 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #10,921/14,653.

hxycorn/Twitter-Sentiment-Analysis-about-ChatGPT is also tagged with popular topics, for these it's ranked: data-visualization (#726/830), data-analysis (#532/607), sentiment-analysis (#197/235)

Other Information

hxycorn/Twitter-Sentiment-Analysis-about-ChatGPT has Github issues enabled, there are 3 open issues and 0 closed issues.

All Topics

vader data-analysis roberta-model topic-modeling twitter-scraping data-preprocessing data-visualization sentiment-analysis

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Recent Commit History

41 commits on the default branch (main) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-06-06 @ 02:51am, id: 608843932 / R_kgDOJEo4nA