https://github.com/aksweb/twitter-sentiment-analyser
https://github.com/aksweb/twitter-sentiment-analyser
Last synced: 11 months ago
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- Host: GitHub
- URL: https://github.com/aksweb/twitter-sentiment-analyser
- Owner: aksweb
- Created: 2023-02-11T10:48:25.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-02-24T09:31:08.000Z (over 3 years ago)
- Last Synced: 2025-06-04T13:45:56.777Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 2.58 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# twitter-sentiment-analyser
This is a repository for Twitter Sentiment Analysis. The goal of this project is to classify tweets as positive, negative, or neutral using various Machine Learning models. The repository contains code for data preprocessing, feature engineering, and model training.
Process invloved :
Data loading
Data preprocessing
Model selection
Model Training
Model evaluation
Exporting the model
Testing on validation data
Python library used:
Pandas, Joblib, Naive Bayes, Sklearn, Countervectorizer
Model uesd:
LinearSVC()
MultinomialNB()
Steps to run the file in google colab:
1.First download the dataset given in data_set folder.
2.Now upload these file to sample_data folder of google colab.
3.Now run google colab file.