This project demonstrates the application of Natural Language Processing (NLP) techniques to analyze a CSV dataset using Google Colab Notebook. It provides a step-by-step guide on how to:
Load and preprocess the CSV data.
Apply NLP techniques such as tokenization, stemming, and lemmatization.
Perform sentiment analysis to extract sentiment polarity.
Visualize the results using plots and charts.
- pandas: For data manipulation and analysis.
- numpy: For numerical operations.
- nltk: Natural Language Toolkit for NLP tasks.
- matplotlib: For data visualization.
- seaborn: For statistical data visualization.
Additional Notes
The project assumes basic knowledge of Python and Google Colab.