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.
RepositoryStats indexes 595,856 repositories, of these roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8 is ranked #510,393 (14th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,903/17,543.
roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8 has Github issues enabled, there are 2 open issues and 0 closed issues.
Star History
Github stargazers over time
Watcher History
Github watchers over time, collection started in '23
Recent Commit History
5 commits on the default branch (main) since jan '22
Yearly Commits
Commits to the default branch (main) per year
Issue History
Languages
The primary language is Jupyter Notebook but there's also others...
updated: 2024-12-21 @ 03:47am, id: 476622920 / R_kgDOHGiwSA