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Sentiment Analysis using NLTK, VADER, and Roberta

Overview

This repository contains code and resources for performing sentiment analysis for Amazon reviews using NLTK (Natural Language Toolkit), VADER (Valence Aware Dictionary and sEntiment Reasoner), and Robota. Sentiment analysis is the process of determining the sentiment or emotional tone of a piece of text, which is valuable for understanding attitudes, opinions, and emotions expressed within textual data.

Usage

  1. Clone this repository to your local machine.
  2. Install the necessary dependencies (NLTK, pandas, numpy, etc.).
  3. Open and run the Jupyter Notebook to perform sentiment analysis on the provided dataset or your custom datasets.

Dependencies

  • NLTK
  • pandas
  • numpy
  • matplotlib (for data visualization)
  • seaborn (for data visualization)
  • scikit-learn (for machine learning tasks)