https://github.com/othreecodes/twitter-analysis
Analysis of a tweet to find the most common words in the replies and quotes
https://github.com/othreecodes/twitter-analysis
analysis twarc tweets twitter-analysis
Last synced: about 2 months ago
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Analysis of a tweet to find the most common words in the replies and quotes
- Host: GitHub
- URL: https://github.com/othreecodes/twitter-analysis
- Owner: othreecodes
- License: mit
- Created: 2020-08-28T17:43:08.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-08-28T17:50:34.000Z (over 5 years ago)
- Last Synced: 2025-01-20T12:30:40.419Z (about 1 year ago)
- Topics: analysis, twarc, tweets, twitter-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 32.2 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# twitter-analysis
Analysis of a tweet to find the most common words in the replies and quotes
Tweet source : https://twitter.com/cowrywise/status/1298642550287478785
I used [Twarc](https://github.com/DocNow/twarc) to get the replies to the tweets and then converted the `text` column of the csv file to a python list.
### Libs used:
- Pandas
- Nltk
- collections
- itertools
- Twarc