Shypd.aiThe largest open index of AI toolsTwitter Sentiment Analysis is an open-source GitHub repository for performing sentiment analysis on tweets. It supports various machine learning models including Naive Bayes, SVM, CNN, and LSTM for binary classification.
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Twitter Sentiment Analysis is an open-source project hosted on GitHub, providing a framework for performing sentiment analysis on tweet data. It offers implementations of several machine learning and deep learning models, such as Naive Bayes, Support Vector Machines (SVM), Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM) networks. The repository is designed for binary classification (positive or negative sentiment) and includes scripts for data preprocessing, statistical analysis, and model training/evaluation. While the original dataset is not releasable due to copyright, the project is easily adaptable for use with other datasets, making it a valuable resource for researchers and developers interested in sentiment analysis.
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