Text Summarization and Analysis

Project Status

Status: COMPLETED

Schedule: Apr 1, 2023 - Sep 30, 2023

Description

Text Summarization and Analysis is a research project exploring advanced natural language processing (NLP) techniques for summarizing and analyzing text documents. The study delves into various NLP models and algorithms, evaluating their effectiveness in generating concise summaries, conducting sentiment analysis, and extracting essential insights from text. The project contributes to the growing field of text analytics, providing valuable findings on the application of AI in linguistic data processing.

Technical Details

• Developed a text summarization algorithm using NLTK and Python to generate concise summaries of input text data.
• Implemented a Flask backend to process user requests, analyze text data, and generate summary outputs.
• Designed a responsive React frontend with user-friendly interfaces for text input, analysis options, and summary display.
• Integrated NLP libraries for sentiment analysis, keyword extraction, and entity recognition to provide detailed insights.

Features

• Research on techniques to automatically generate concise summaries of lengthy text documents.
• Exploration of models to analyze the emotional tone of text data, classifying it as positive, negative, or neutral.
• Study on identifying and extracting key terms and phrases from text data to highlight essential information.

Team

Nitish Pandey

Full-Stack Developer

Additional Resources

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