Carrot Search document clustering and visualization software
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We can help you to evaluate your enterprise search. Solution and support you in the replacement of the expiring Google Search Appliance. Have we aroused your interest? Us at any time! .
Organizes your search results into topics. Carrot2 is an Open Source Search Results Clustering Engine. For more information, please check the project website.
Text clustering and visualization software downloads page.
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Shares useful pieces of software we create when working on our products. CSS Sprites Generator Done Right. SmartSprites maintains CSS sprites in your designs, fully automatically. No tedious copying and pasting to your CSS when adding or changing sprited images. High Performance Primitive Collections for Java. Lists, Sets, Maps and other collections of primitives for Java tuned for highest performance and memory efficiency. The project has been deprecated in favor of JMH.
Search results clustering, information retrieval, text mining, user interface design and usability.
Is kindly supported by a number of companies and organizations. Is an Open Source Search Results Clustering Engine. Search results clustered with Carrot. Apart from two specialized document clustering algorithms. Offers ready-to-use components for fetching search results from various sources including GoogleAPI, Bing API, eTools Meta Search.
Organizes your search results into topics. Dark side of the moon. Carrot2 is an Open Source Search Results Clustering Engine. For more information, please check the project website.
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CARROT SEARCH S.C.
DAWID WEISS
UL. BOZNICZA 11/57
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We identified that this website is implementing the keycdn-engine operating system.SITE TITLE
Carrot Search document clustering and visualization softwareDESCRIPTION
Organize text documents into thematic groups for quick overview, effective browsing and research. Automatically, without knowledge bases. Free trial.PARSED CONTENT
The website carrotsearch.com states the following, "Is an application you can use to get started and experiment with Lingo4G large-scale text clustering." I analyzed that the website stated " This screen shot shows StackExchange Super User questions matching the." They also stated " Query divided into non-overlapping clusters. A cluster related to PowerPoint is highlighted, top questions from that cluster are displayed in the right-hand side panel." The meta header had document clustering as the first search term. This keyword was followed by text categorization, grouping, and software which isn't as important as document clustering. The other words they used was java library. .NET is also included but could not be seen by search crawlers.SEE OTHER WEBSITES
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Cultivating a Catholic family through literature, liturgical living, and urban homesteading. St Anthony of the Desert. Welcome back to Good Music Monday at Carrots! January 31, 2018.
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