Top 20 NuGet nlp Packages

A Farsi (Persian) language checking and NLP library. This package includes both library and it's required data files.

Required data files for Virastyar library.

A Farsi (Persian) language checking and NLP library.

Nzemberek is .Net port of zemberek project. Zemberek is an open source, platform independent, general purpose Natural Language Processing library and tool set designed for Turkic languages, especially Turkish.

Semantria is a text analytics and sentiment analysis API by Lexalytics. It allows you to gain valuable insights from your unstructured text content. It is based on Lexalytics’ Salience – a text analytics and sentiment analysis engine. The same engine as the one being used by Oracle, Cisco, Thomson R...

Simple C# wrapper for Stanford CoreNLP (see README for details).

Classicial Machine Translation such as IBM model 1 and IBM model 2 implemented in .NET 4.6.1

Text Analytics and Sentiment Analysis API - allows to perform following: Sentiment analysis, Document classification, Entity extraction, Themes discovery, Keyword analysis, Citation detection, Slang detection..

YeuAI - Text, Voice and Image Processing Library

Information extraction library

A framework for easy development of signal processing systems, texts, time series, etc. using machine learning methods, we are on Telegram: https://t.me/ai_prog_math

XTextCategorizer is a binary, supervised learning text classifier, using Convolutional Neural Network architecture Usage: 1) Creates a new instance of TextCategorizer 2) Calls Train(samples) to train the text categorizer 3) Calls Predict(samples) to make prediction You can also save/load the mode...

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.

F# extensions for Stanford.NLP.Parser

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.

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.

For import texts, preprocessing it and export results