https://github.com/shreyansh26/live-twitter-sentiment-analysis

Sentiment analysis on live twitter stream and plotting the sentiment values using Matplotlib
https://github.com/shreyansh26/live-twitter-sentiment-analysis

nltk twitter-sentiment-analysis twitter-streaming-api

Last synced: 6 months ago
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Sentiment analysis on live twitter stream and plotting the sentiment values using Matplotlib

• Host: GitHub
• URL: https://github.com/shreyansh26/live-twitter-sentiment-analysis
• Owner: shreyansh26
• License: mit
• Created: 2017-07-09T05:06:53.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2018-12-26T01:16:00.000Z (almost 7 years ago)
• Last Synced: 2025-03-24T18:52:36.979Z (7 months ago)
• Topics: nltk, twitter-sentiment-analysis, twitter-streaming-api
• Language: Python
• Homepage:
• Size: 1.43 MB
• Stars: 4
• Watchers: 2
• Forks: 7
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
Live Twitter Sentiment Analysis

===============================

I created a module called **sentiment_mod** using NLTK. The classifier used for sentiment analysis is a custom classifier based on voting involving various algorithms including - 

* Original Naive Bayes Classifier of NLTK

* Multinomial Naive Bayes

* Stochastic Gradient Descent (SGD)

* Bernoulli Naive Bayes

The module can do sentiment analysis on any piece of text and describe it as positive(pos) or negative(neg).

The file **live_twitter_sentiment.py** is used to do twitter analysis on live twitter feed on ay topic.  

The file **graphing_live_twitter.py** plots a live graph of the sentiment value of tweets.

The pickle files can also be made by running the **sentiment_module_1.py**.