---
license: mit
tags:
- twitter
---
# Twitter User Dataset
This dataset was obtained by crawling Twitter's REST API using the Python library Tweepy 3. The dataset comprises tweets from the 20 most popular Twitter users based on the number of followers, with retweets excluded. These accounts include public figures such as Katy Perry and Barack Obama, platforms like YouTube and Instagram, and television channels such as CNN Breaking News and The Ellen Show.
The dataset presents a diverse collection of tweets, ranging from relatively structured and formal to completely unstructured and colloquial in style. Unfortunately, geocoordinates were not available for these tweets.
## Dataset Details
- **Purpose:** The dataset has been utilized in the generation of a research paper titled "Machine Learning Techniques for Anomaly Detection in Post Arrays."
- **Crawled Attributes:**
- Author (Twitter User)
- Content (Tweet)
- Date_Time
- ID (Twitter User ID)
- Language (Tweet Language)
- Number_of_Likes
- Number_of_Shares
## Statistics
- **Total Tweets:** 52,543
### Top 20 Users
| Screen_Name | #Tweets | Time Span (in days) |
| -------------- | ------- | -------------------- |
| TheEllenShow | 3,147 | 662 |
| jimmyfallon | 3,123 | 1,231 |
| ArianaGrande | 3,104 | 613 |
| YouTube | 3,077 | 411 |
| KimKardashian | 2,939 | 603 |
| katyperry | 2,924 | 1,598 |
| selenagomez | 2,913 | 2,266 |
| rihanna | 2,877 | 1,557 |
| BarackObama | 2,863 | 849 |
| britneyspears | 2,776 | 1,548 |
| instagram | 2,577 | 456 |
| shakira | 2,530 | 1,850 |
| Cristiano | 2,507 | 2,407 |
| jtimberlake | 2,478 | 2,491 |
| ladygaga | 2,329 | 894 |
| Twitter | 2,290 | 2,593 |
| ddlovato | 2,217 | 741 |
| taylorswift13 | 2,029 | 2,091 |
| justinbieber | 2,000 | 664 |
| cnnbrk | 1,842 | 183 (2017) |
If you have any questions or feedback, please contact the project maintainers:
* 0x_hayden
* Email: t5hlt8zcp@mozmail.com
## Credits
This project is maintained by:
[](https://github.com/code-glitchers)
### Contributors and Developers
[](https://github.com/mindglitchers)
## Support
If you find this project helpful, consider buying us a coffee:
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