What's included

• Data Preprocessing and Cleaning Scripts

  Python scripts that clean, pre process, and prepare unstructured text data, including tokenization, stopwords removal, and lemmatization, ensuring high-quality inputs for analysis.

• Sentiment Analysis Report

  A detailed report on sentiment trends, highlighting customer emotions, opinions, and patterns, complete with visualizations to support business decisions.

• Text Classification Model

  A trained and validated machine learning model that classifies text into relevant categories (e.g., product feedback, support requests), along with model performance metrics.

• Keyword and Topic Extraction Summary

  An organized summary of main keywords, topics, and themes extracted from text data, providing insights into common topics and areas of interest.

• Predictive Text Modelling

  A model that forecasts future trends or behaviours based on text data, along with an easy-to-understand explanation of the model’s insights and suggested applications.

• Comprehensive Documentation

  Documentation detailing the methods, model specifications, and code used throughout the project, ensuring clarity and reproducibility for future work.