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Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8

This project walks you on how to create a twitter sentiment analysis model using python. Twitter sentiment analysis is performed to identify the sentiments of the people towards various topics. For this project, we will be analysing the sentiment of people towards Pfizer vaccines. We will be using the data available on Kaggle to create this machine learning model. The collected tweets from Twitter will be analysed using machine learning to identify the different sentiments present in the tweets. The different sentiments identified in this project include positive sentiment, negative sentiment and neutral sentiment. We will also be using different classifiers to see which classifier gives the best model accuracy.

How to download and setup Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8

Open terminal and run command
git clone https://github.com/roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8.git
git clone is used to create a copy or clone of Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8 repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8 https://github.com/roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8/archive/master.zip

Or simply clone Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8 with SSH
[email protected]:roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8.git

If you have some problems with Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8

You may open issue on Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8 support forum (system) here: https://github.com/roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8/issues

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