Text Summarizer ML

AI-powered text summarizer using machine learning to extract key points and generate concise summaries from long texts.

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About This Tool

This Text Summarizer ML Project uses advanced machine learning algorithms to analyze and summarize text documents. It implements extractive summarization techniques to identify the most important sentences and generate concise summaries while preserving the original meaning. The tool supports both text input and file uploads (TXT, PDF, DOCX) with configurable summary length options.

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How to Use

Enter text directly in the text area or upload a document file (TXT, PDF, DOCX).
Select your desired summary length (short, medium, or long).
Click the 'Summarize Text' button to process your text.
View the generated summary in the results section with options to copy or download.

Frequently Asked Questions

Find Quick Answers

What type of summarization does this tool use?

This tool uses extractive summarization, which identifies and extracts the most important sentences from the original text to create a summary.

What file formats are supported?

The tool supports TXT, PDF, and DOCX file formats for text extraction and summarization.

How does the machine learning algorithm work?

The ML algorithm analyzes sentence importance based on factors like word frequency, sentence position, and keyword density to identify key sentences for the summary.

Can I adjust the summary length?

Yes, you can choose between short (20% of original), medium (40% of original), or long (60% of original) summary lengths.

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