GitHub - esharma3/Twitter_Sentiment_Analysis: A Streamlit based Twitter Sentiment Analyzer app that fetches Tweets real time, analyzes them and provides Sentiment Scores, Word Cloud, Subjectivity-Objectivity Score and Latest Tweets. Link - https://twitter-analyzerr.herokuapp.com/

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A Streamlit based Twitter Sentiment Analyzer app that fetches Tweets real time, analyzes them and provides Sentiment Scores, Word Cloud, Subjectivity-Objectivity Score and Latest Tweets. Link - https://twitter-analyzerr.herokuapp.com/

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Name		Name	Last commit message	Last commit date
Latest commit History 65 Commits
images		images
Pipfile		Pipfile
Pipfile.lock		Pipfile.lock
Procfile		Procfile
README.md		README.md
app.py		app.py
app.yaml		app.yaml
nltk.txt		nltk.txt
setup.sh		setup.sh

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Twitter Sentiment Analyzer

A Streamlit based app that fetches Tweets real time, analyzes them and provides you with the following:

Word Cloud
Sentiment Analysis Result displayed as a Bar Graph
Subjectivity vs. Objectivity Scores displayed as a Pie Chart
Ten or less Latest Tweets

Tools and Technologies Used:

Python3
NLP
NLTK
Text Blob
Plotly for rich Visualization
Streamlit for app
Heroku for deployment

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A Streamlit based Twitter Sentiment Analyzer app that fetches Tweets real time, analyzes them and provides Sentiment Scores, Word Cloud, Subjectivity-Objectivity Score and Latest Tweets. Link - https://twitter-analyzerr.herokuapp.com/

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