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:
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VADER (rule-based sentiment analysis) Key Features:
-
Process large dataset of Amazon food reviews
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Apply text preprocessing techniques:
- Word tokenization
- Part of speech tagging
- Named entity recognition
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Compare performance of VADER in sentiment classification
Implementation Details:
- Programming language: Python
- Libraries used:
- NLTK
- Scikit-learn
Setup Instructions:
- Clone the repository from GitHub
- Install required dependencies using pip
- Download Amazon food reviews dataset from Kaggle and place it in the appropriate directory