Search Results for "summarization"
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Showing 5 open source projects for "summarization"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Our mission is to develop open source solutions and provides professional support helps small and medium size companies meet the challenges of developing professional Arabic websites in the PHP/MySQL environment based on our experience in Arabic language processing, the library that we develop helps companies save time and increase productivity.
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Graph-based Extraction and Summarization - a generic graph-based summarization framework. Basic functionality is provided - third-party modules can be plugged in.
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Document summarization system. By adding document content to system, user queries will generate a summary document containing the available information to the system.
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WebCQ is a continual query system for large-scale Web information monitoring. It tracks various changes to static and dynamic web pages, delivers personalized notifications and summarization with prioritization, and analyzes page structures.
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Whether natural disaster, cyberattack, or plain-old human error, data can disappear in the blink of an eye. ConnectWise BCDR (formerly Recover) delivers reliable and secure backup and disaster recovery backed by powerful automation and a 24/7 NOC to get your clients back to work in minutes, not days.
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Jindex4U is a software, which provides assistance to the META tags insertion on your Web site. This software uses various technologies like N.L.P. (Natural Language Processing) and A.T.S. (Automatic Text Summarization).
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