Search Results for "text analysis" - Page 3
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Showing 56 open source projects for "text analysis"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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One Monitoring Tool for IT, OT and Cloud | Free TrialModern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
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Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...
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A statistics generator (html, text, charts) for distributed.net personal proxy servers log files written in Java.
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This very simple perl script parses you iptables log files and produces a report in text format with a summary based on the prefix of the log ( --log-prefix option of iptables ). Prefix description is allowed.
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A knowledgment management system written in Java under JBoss 4.2.3 Server, with richfaces 3.3.0BETA4. Including fileconversion from html to pdf and rich:editor component without special syntaxing.
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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This software splits the (default format) squid-access log file by networks, which are listed in a space separated text file.
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A tool to extract the information in any log file into a database. It has no inherent knowledge of particular log formats but by using inbuilt rules and asking a few simple questions should be able to parse any type of text log intelligently.
