https://github.com/rishisolanke/twitter-sentiment-analysis-using-machine-learning-

A research project that classifies tweets as positive, negative, or neutral using ML algorithms (Logistic Regression, Naïve Bayes, SVM) with NLP preprocessing.
https://github.com/rishisolanke/twitter-sentiment-analysis-using-machine-learning-

data-science data-visualization logistic-regression machine-learning ml-models naive-bayes natural-language-processing nlp scikit-learn sentiment-analysis svm text-classification twitter-data

Last synced: about 10 hours ago
JSON representation

A research project that classifies tweets as positive, negative, or neutral using ML algorithms (Logistic Regression, Naïve Bayes, SVM) with NLP preprocessing.

• Host: GitHub
• URL: https://github.com/rishisolanke/twitter-sentiment-analysis-using-machine-learning-
• Owner: rishisolanke
• Created: 2025-02-02T19:13:05.000Z (about 22 hours ago)
• Default Branch: main
• Last Pushed: 2025-02-02T19:18:36.000Z (about 22 hours ago)
• Last Synced: 2025-02-02T20:21:03.191Z (about 21 hours ago)
• Topics: data-science, data-visualization, logistic-regression, machine-learning, ml-models, naive-bayes, natural-language-processing, nlp, scikit-learn, sentiment-analysis, svm, text-classification, twitter-data
• Language: Jupyter Notebook
• Homepage:
• Size: 25.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:

Awesome Lists containing this project