EmotionEvaluator---sentiment-analysis-project

This is a project description for "Echoes of Emotion", a sentiment analysis project that focuses on Amazon food reviews. Here's a breakdown of the key points:

Project Goal: Analyze the sentiment of Amazon food reviews using various techniques.

Techniques Used:

1. VADER (rule-based sentiment analysis) Key Features:

2. Process large dataset of Amazon food reviews

3. Apply text preprocessing techniques:

   • Word tokenization
   • Part of speech tagging
   • Named entity recognition

4. Compare performance of VADER in sentiment classification

Implementation Details:

1. Programming language: Python
2. Libraries used:
   • NLTK
   • Scikit-learn

Setup Instructions:

1. Clone the repository from GitHub
2. Install required dependencies using pip
3. Download Amazon food reviews dataset from Kaggle and place it in the appropriate directory