Search Results for "text mining concept" - Page 6
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Showing 142 open source projects for "text mining concept"
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The project is a collection of object pascal libraries for parsing text strings and markup languages HTML, XHTML, XML, CSS and others. Libraries are written in minimalism concept with striving for wide unification.
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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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MulticastCommunicator is a multicast-based peer-to-peer instant messenger, which allows rapid file distribution, text chat and data exchange within a multicast group, e.g. a LAN. It is written in Java and uses an easily-extensible message chain concept.
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JDMF is a data mining framework written in Java. Main features include: simplicity, flexibility, many algorithms to choose from, many formats of input (e.g. XML, CSV, JDBC, Java beans) and output data (e.g. XML, plain text info, charts).
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Build cities, hire heroes, hire armies, fight; familiar gaming concept. All in ASCII text (ex. Linux console). Color ASCII. Take a look at the screenshots and it might help you change your mind.
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The aim of TextToOnto is to support developers in the ontology construction process by applying text mining techniques. For this purpose it builds on KAON (http://kaon.semanticweb.org)
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VANI is Vernacular Attempt to National Integration!! .It's a concept that will revolutionize the current speech technology.
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txtkit is a visual text mining tool for exploring large amounts of multilingual texts. It's an multiuser-application which mainly focuses on the process of reading and reasoning as series of decisions and events.
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webExtractor is a Java application that is used for extracting specific content from web based HTML, XML, CSV, and free form text. The extracted data can be used for data gathering and mining purposes.
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COOK is an embedded language which can be used as a macro preprocessor and for similar text processing. The concept is similar to PHP, but is oriented towards batch-mode processing.
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pySPACE
Signal Processing and Classification Environment in Python using YAML
...Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. ... -
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FilterAny
Tool to apply many filters to texts and files.
The concept of the tool is very simple. It is just necessary to copy and paste any text into the Input Area, then a filter can be applied generating a filtered text into the Output Area. If it is necessary to apply one another filter, then the content can be brought back to the Input Area with a simple click on a button. This process is repeated until the expected result is reached. -
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GraphSpider is a pattern matcher which searches parsed text in phrase-structure tree or dependency graph format for syntactic structures matching a set of patterns in MPL, a regexp-like pattern language. Applications: information extraction, text mining.
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reputron is a knowledge extraction engine platform that covers all aspect of text mining, relevance, indexing and querying on a corpus of text documents.
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Krea 2 Turbo
Fast 12B image model for high-quality text-to-image generation
Krea 2 Turbo is Krea AI’s flagship open-weight text-to-image diffusion model optimized for fast, high-quality image generation. Built on a 12-billion-parameter Diffusion Transformer (DiT), it is a distilled and post-trained version of the Krea 2 Raw checkpoint, enabling photorealistic and artistic image synthesis in as few as eight inference steps. Designed for creative professionals, developers, and researchers, it supports concept art, design exploration, marketing assets, illustrations, and commercial visual production. ... -
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Krea 2 Raw
Base Krea image model for LoRA training and fine-tuning
Krea 2 Raw is Krea AI’s base open-weight text-to-image diffusion checkpoint, designed primarily for fine-tuning, LoRA training, and post-training rather than direct inference. It is part of the Krea 2 model family and uses a 12-billion-parameter Diffusion Transformer architecture to generate images from natural-language prompts. Unlike Krea 2 Turbo, which is distilled and optimized for faster direct generation, Raw is the foundational checkpoint before additional post-training and...
