Automate Text Insights App

Overview

An end-to-end NLP application built to automate the analysis of raw text data. It extracts n-gram patterns, visualizes linguistic trends, and leverages generative AI (GPT-4o Mini) to generate contextual insights — all within an interactive dashboard, with the option to export results to PDF.

Background

Organizations often collect large volumes of textual feedback or user-generated content, but lack the tools to analyze it effectively. Manual review is inefficient and doesn't scale. This project aims to bridge that gap by delivering automated, interpretable text insights through a low-code interface.

Methodology

• Data Ingestion: Accepts CSV/XLSX files with raw text in a specified 'text' column
• Text Preprocessing: Tokenization and n-gram modeling
• Exploratory Analysis: Bigram/trigram frequency charts and word cloud visualizations
• LLM Integration: Prompts GPT-4o Mini with statistical patterns to generate summarized insights
• Report Generation: Renders a multi-section PDF containing visuals and bullet-point insights

Conclusion

The application demonstrates a scalable pipeline for deriving insights from unstructured text. It combines classic NLP with generative AI, delivering not just patterns but context. This solution can be adapted for customer feedback analysis, product reviews, or survey comments — enabling faster and more consistent decision-making from textual data.