Top 20 NuGet Packages depending on IKVM

.NET conversion (using IKVM.NET) of the H2 SQL database library.

IKVM Java to .NET port of Apache Tika. You can use Noggle.TikaOnDotNet.Parser with wrapper and helper functions to parse rich text documents. (Info: This is an extended version of the TikaOnDotNet port done by KevM.)

An extensible framework for feature-oriented software development This is the IKVM version; which is to say that this is compiled from Java to .NET

LingPipe is tool kit for processing text using computational linguistics. LingPipe is used to do tasks like: - Find the names of people, organizations or locations in news - Automatically classify Twitter search results into categories - Suggest correct spellings of queries

Simple wrapper for twitter-korean-text

Woodstox is a high-performance validating namespace-aware StAX-compliant (JSR-173) Open Source XML-processor written in Java.

The ExtractAbbrev class implements a simple algorithm for extraction of abbreviations and their definitions from biomedical text. Abbreviations (short forms) are extracted from the input file, and those abbreviations for which a definition (long form) is found are printed out, along with that defini...

Kevoree components Api

Kevoree Model

Wrapper over IBM DB2 JDBC DRIVER in framework .NET V2.0

TwitterNLP provides a fast and robust Java-based tokenizer and part-of-speech tagger for tweets, its training data of manually labeled POS annotated tweets, a web-based annotation tool, and hierarchical word clusters from unlabeled tweets.

Tokenization of raw text is a standard pre-processing step for many NLP tasks. For English, tokenization usually involves punctuation splitting and separation of some affixes like possessives. Other languages require more extensive token pre-processing, which is usually called segmentation.

Sample how to use: https://gist.github.com/hodzanassredin/6682771 LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized classifiers L2-loss linear SVM, L1-loss linear SVM, and logistic regression (LR) L1-regularized classifiers (af...

This is IKVM compatible lucene benchmark package. This is used in FlexSearch (http://flexsearch.net).

MaltParser is a system for data-driven dependency parsing, which can be used to induce a parsing model from treebank data and to parse new data using an induced model.

A .NET distribution of MINT Core Library.

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