roshancyriacmathew / 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.

Date Created 2022-04-01 (2 years ago)
Commits 5 (last one 2 years ago)
Stargazers 49 (0 this week)
Watchers 1 (0 this week)
Forks 7
License unknown
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RepositoryStats indexes 632,768 repositories, of these roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8 is ranked #497,955 (21st percentile) for total stargazers, and #556,814 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,386/19,048.

roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8 is also tagged with popular topics, for these it's ranked: python (#19,627/23413),  machine-learning (#7,060/8405),  twitter (#541/651),  sentiment-analysis (#207/264)

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roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8 has Github issues enabled, there are 2 open issues and 0 closed issues.

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updated: 2025-03-21 @ 04:21am, id: 476622920 / R_kgDOHGiwSA