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

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

roshancyriacmathew

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.

56 Stars
9 Forks
56 Watchers
Jupyter Notebook Language
Cost to Build
$7.2K
Market Value
$15.5K

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1 data points  ·  2025-09-19 → 2025-09-19
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What is the roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8 GitHub project? Description: "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.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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