Search Results for "indexing"
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Showing 9 open source projects for "indexing"
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elasticsearc-php
PHP low-level client for Elasticsearch
...Elasticsearch Bundle was created in order to serve the need for professional Elasticsearch integration with enterprise level Symfony 2 systems. Automatically generate mappings using a serializer. Listeners for Doctrine events for automatic indexing. -
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HAWK - PDF Text Search Java Project
No more support for this project - TAKE A LOOK AT FALCONSEARCH
No more support for this project - TAKE A LOOK AT FALCONSEARCH "https://sourceforge.net/projects/falcontextsearch/" -
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A toolkit with using Suffix Array indexing for empirical natural language processing. Providing functions such as searching the occurrences of n-grams in the corpus and suffix array language model which can use arbitrarily long history.
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Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.
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The project is aiming to do two things: track the total transit time it takes a news story to travel from site A to site Z across the net and we'll be indexing the content of the article at each hop and tracking the morphing of the content as it goes
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The Cornell Tree-Ring Analysis System. A program for several aspects of dendrochronology: measuring, indexing, crossdating, graphing, summing masters, and even drawing maps of locations of sites.
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This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
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SENTENSA Knowledge Miner is a platform independent tool for searching any text. SENTENSA uses robust methods of indexing and searching text, leveraging on experience from more than 20 years of information retrieval.
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Search engine to help in user understanding of the concepts behind indexing, parsing, clustering, relevance feedback and ranking.
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