Metadata-Version: 2.1
Name: Social-Media-Sentiment-Analysis
Version: 0.1.3
Summary: A Library for webscraping social media platforms (twitter) and using sentiment analysis on them!
Home-page: https://social_media_sentiment_analysis.readthedocs.io/
Author: Raf Muz
Author-email: CyberRaf01@gmail.com
License: MIT
Description: # Social Media Sentiment Analysis
        A Library for webscraping social media platforms (twitter) and using sentiment analysis on them!
        
        ## Installation
        
        	pip install social_media_sentiment_analysis
        
        
        ## Get started
        Get Tweets from twitter and apply sentiment analysis on it:
        
        ~~~Python
        # Import Library's
        import pandas
        from Social_Media_Sentiment_Analysis import Social_Media
        from Social_Media_Sentiment_Analysis import NLP_Classification as Classify
        
        tweets = Social_Media.get_tweets ('BTC', 'lang:"en"', 128)  # Get Tweets
        tweets, twitter_score = Classify.twitter_indicator (tweets) # Apply Sentiment Analysis
        
        Social_Media.save_tweets (tweets, 'tweets')                 # Save Tweets
        tweets = pandas.read_csv ('tweets.csv')                     # Read Tweets
        
        # Print the Results
        print (tweets)
        print ('\n{0}'.format (twitter_score))
        ~~~
        
        Documentaion: https://social-media-sentiment-analysis.readthedocs.io/en/latest/
        
        And that's the end of the Readme, Thanks for Reading!
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
