Twitter sentiment analysis using Python | Machine Learning Project 8

Опубликовано: 17 Май 2026
на канале: The AI & DS Channel

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This video gives you an idea of how to create a Twitter sentiment analysis model using python. Twitter sentiment analysis is performed to identify the sentiments of people towards various topics. For this machine learning 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. The dataset links are attached below.

Thanks for watching!
Roshan Cyriac Mathew

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WordCloud video:
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Link to the dataset on Kaggle:
https://www.kaggle.com/gpreda/pfizer-...

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GitHub Link for project code:
https://github.com/roshancyriacmathew...

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