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Streamlined Text Analysis NLP for Document Summaries

A web app that summarizes text or PDF content, detects sentiment, and creates word clouds from frequently used words.
Updated 1 month ago

Streamlined-Text-Analysis-NLP-for-Document-Summaries

A tool designed to simplify text analysis and document summarization using Natural Language Processing (NLP) techniques.you can quickly generate summaries and gain insights from your documents, making it easier to digest and understand large volumes of text.

Features

  • Text Summarization: Generate concise summaries of your documents, extracting the most important information.
  • Sentiment Analysis: Determine the sentiment expressed in your text, whether it's positive, negative, or neutral.
  • Document Management: Upload and manage your documents for easy analysis and summarization.
  • Word Cloud Generation: Visualize the most frequently occurring words in your text for a quick overview.

Usage

  1. Text Summarization: Simply upload your document or paste the text content into the tool. Reportionary will then generate a summary for you.

  2. Sentiment Analysis: After uploading your document, Reportionary will analyze the sentiment expressed in the text and provide insights.

  3. Document Management: Use the document management feature to upload, organize, and manage your documents for analysis.

  4. Word Cloud Generation: Explore the word cloud feature to visually identify the most common words in your text.

This requires the following modules :

Spacy NLTK Flask TextBlob NumPy Scikit-Learn pypdf2

Tags stream