Showing 2 open source projects for "multi-document summarization"

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    TrendRadar

    TrendRadar

    AI-driven public opinion trend monitor with multi-platform aggregation

    TrendRadar is an AI-powered trend and hotspot tracking system that aggregates information from dozens of news, social, and content platforms to help users cut through information overload and focus on what matters. It automatically crawls and monitors trends across 30+ sources with smart filtering, keyword triggers, sentiment analysis, and natural language summarization to give actionable insights. The tool supports multiple alert modes—such as daily summaries, incremental change monitoring,...
    Downloads: 2 This Week
    Last Update:
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  • 2
    unfluff

    unfluff

    Automatically extract body content (and other cool stuff) from HTML

    unfluff is a Node.js library designed to automatically extract the main content from an HTML document — stripping away navigation bars, ads, footers and other boilerplate to leave you with the “body content”, metadata (title, author, date) and other useful fields. It’s a tool very much aimed at content-analysis, web scraping, building datasets, or repurposing article text for downstream processing (like machine-learning or summarization).
    Downloads: 0 This Week
    Last Update:
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