pytweet is a python package for text analysis and sentiment analysis on tweets. The package will allow you to extract tweets from Twitter, visualize user habit on tweet posting, and apply sentiment analysis to the data.
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get_tweets:- This function extracts tweets from a Twitter user given their handle (i.e. @elonmusk).
- NOTE: this function requires Twitter API credentials stored as environment variables. Please see this guide on how to obtain access.
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plot_timeline:- This function creates an analysis of what time of day the tweets occurs and plots the counts of tweets and hours.
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plot_hashtags:- This function creates an analysis of the hashtags in tweets, and plots the most frequently used hashtag words.
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tweet_sentiment_analysis:- This function applies sentiment analysis to tweets. It associates tokens in tweets with positive or negative sentiments and calculates their corresponding frequencies.
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visualize_sentiment:- This function takes in the output of sentiment_analysis function and creates a visualization of user's tweets with sentimental analysis.
There are a few existing Python packages that perform tweets text analysis and sentiment analysis available on PyPI, such as tweet-scraper, and tweet-sentiment. Also, there are similar packages available on Github, such as twitter_sentiment_analysis. However, there are no available packages for hashtag or timeline visualization.
$ pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple pypkgs- python = "^3.8"
- pandas = "^1.2.3"
- altair = "^4.1.0"
- DateTime = "^4.3"
- tweepy = "^3.10.0"
- textblob = "^0.15.3"
- sklearn = "^0.0"
- nltk = "3.5"
- strings = "0.1.2"
from pytweet import pytweet
import pandas as pd
pytweet.get_tweets('@BrunoMars', n_tweets=8)> time tweet
> 0 2021-03-06 04:39:46 ✨✨✨✨✨✨✨✨✨✨✨✨✨ https://t.co/ElGgeZ7B9c
> 1 2021-03-05 20:41:06 ✨ #SilkSonic #LeaveTheDoorOpen @AndersonPaak @...
> 2 2021-03-05 20:31:45 👀
> 3 2021-03-05 05:18:36 ✨ #SilkSonic song and video out now✨ #LeaveThe...
> 4 2021-03-05 03:14:22 #SilkSonic
> 5 2021-03-03 20:48:20 Just posted a photo https://t.co/wPsxKeCAWH
> 6 2021-03-02 19:32:41 Lacoste: “Bruno, if you want the clothes to se...
> 7 2021-03-02 16:03:35 Alright i’ll be back. I gotta go approve some ...
tweet_data = pytweet.get_tweets('@BrunoMars', n_tweets=500)
pytweet.plot_timeline(tweet_data, 'time')
pytweet.plot_hashtags(tweet_data, 'tweet')
pytweet.tweet_sentiment_analysis(tweet_data)
Sentiment_df = pytweet.tweet_sentiment_analysis(tweet_data)
pytweet.visualize_sentiment(Sentiment_df)
The official documentation is hosted on Read the Docs: https://pytweet-ubcmds.readthedocs.io/en/latest/
We welcome and recognize all contributions. You can see a list of current contributors in the contributors tab.
This package was created with Cookiecutter and the UBC-MDS/cookiecutter-ubc-mds project template, modified from the pyOpenSci/cookiecutter-pyopensci project template and the audreyr/cookiecutter-pypackage.