https://github.com/aryansingla45/sentiment-analysis

Sentiment Analysis Project on Twitter data
https://github.com/aryansingla45/sentiment-analysis

deep-learning jupyter-notebook keras logistic-regression machine-learning natural-language-processing numpy pandas python scikit-learn tensorflow

Last synced: 2 months ago
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Sentiment Analysis Project on Twitter data

• Host: GitHub
• URL: https://github.com/aryansingla45/sentiment-analysis
• Owner: aryansingla45
• License: mit
• Created: 2024-05-04T15:26:32.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-05T05:16:58.000Z (about 2 years ago)
• Last Synced: 2026-01-03T16:22:52.579Z (6 months ago)
• Topics: deep-learning, jupyter-notebook, keras, logistic-regression, machine-learning, natural-language-processing, numpy, pandas, python, scikit-learn, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 13.4 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Sentiment-Analysis

Welcome to the Sentiment Analysis Project! This project aims to analyze sentiments expressed in Twitter data using machine learning (ML), natural language processing (NLP), and deep learning (DL) techniques. By exploring tweets and decoding the emotions behind them, we aim to uncover valuable insights about user sentiments regarding various topics, products, and services.

### Overview

- Objective: Understand user sentiments in tweets.

- Data Source: Twitter

- Technologies Used: ML, NLP, DL

- Programming Languages: Python

- Libraries Used: Keras, NLTK, scikit-learn , numpy , pandas , matplotlib