Natural Language Understanding (NLU) Software

Natural Language Understanding (NLU) Software 2022 - Best Application Comparison.

Amazon Comprehend

Amazon Comprehend

Our score: 8

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; an...

Read More
CLAMP

CLAMP

Our score: 5

CLAMP is a comprehensive clinical Natural Language Processing (NLP) software that enables recognition and automatic encoding of clinical information in narrative patient reports....

Read More
FACTORIE

FACTORIE

Our score: 5

FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala that provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference....

Read More
Frog

Frog

Our score: 9

Frog is an integration of memory-based natural language processing (NLP) that tokenize, tag, lemmatize, and morphologically segment word tokens in Dutch text files, will assign a dependency graph to each sentence, will identify the base phrase chunks in the sentence, and will attempt to find and lab...

Read More
FuzzyWuzzy

FuzzyWuzzy

Our score: 8.2

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences...

Read More
Google Cloud AutoML Natural Language

Google Cloud AutoML Natural Language

Our score: 5

The powerful pre-trained models of the Natural Language API let developers work with natural language understanding features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis....

Read More
Google Cloud Natural Language API

Google Cloud Natural Language API

Our score: 7

Google Cloud Natural Language API reveals the structure and meaning of text by offering machine learning models in an easy to use REST API, user can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts and to understand se...

Read More
LDA.js

LDA.js

Our score: 8

LDA is a machine learning algorithm that extracts topics and their related keywords from a collection of documents....

Read More
MonkeyLearn

MonkeyLearn

Our score: 7.8

MonkeyLearn is an AI platform that allows you analyze text with Machine Learning to automate business workflows and save hours of manual data processing....

Read More
Natural

Natural

Our score: 8.2

Natural is a general natural language facility for nodejs that support tokenizing, stemming, classification, phonetics, tf-idf, WordNet, string similarity, and some inflections....

Read More
openNLP

openNLP

Our score: 8

Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text that supports the common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution these tasks are usual...

Read More
Puck

Puck

Our score: 5

Puck is a high-speed, high-accuracy parser for natural languages use with grammars trained with the Berkeley Parser and on NVIDIA cards....

Read More
Stanford CoreNLP

Stanford CoreNLP

Our score: 8.6

Stanford CoreNLP provides a set of natural language analysis tools that can give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of sentences in terms of phrases and word depe...

Read More
Text-Processing

Text-Processing

Our score: 8.4

Text-Processing is a sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition....

Read More
Text REtrieval and Annotation Toolkit (Treat)

Text REtrieval and Annotation Toolkit (Treat)

Our score: 5

Treat is a toolkit for natural language processing and computational linguistics in Ruby that build a language- and algorithm- agnostic NLP framework for Ruby with support for tasks such as document retrieval, text chunking, segmentation and tokenization, natural language parsing, part-of-speech tag...

Read More

1 - 20 of ( 23 ) records