Text & Natural Language Processing

Our platform gives access to a large number of text analysis and natural language processing engines from the best providers:

Custom text classification

This technology allows you to train a custom text classification model based on your own labeled texts and is therefore suitable for complex data

Syntax analysis

This technology (also called parsing) is used to carry out a syntactic analysis of a given text: it reveals the syntactic components and their grammatical relationships

Keyword extraction

This technology is used is used to definethe terms that represent the most relevant information contained in a text or a document document


This technology reduces automatically the size of a document or a text by only keeping the most relevant sentences from it

Semantic analysis

This technology is used to determine the meaning of an expression or text by finely analyzing word combinations and context

Sentiment analysis

This technology (also called opinion mining) automatically analyzes the feelings and emotions associated with a text or a document

Named Entity Recognition

 This technology automatically identifies named entities (places, people, brands and events) in a text and classifies them into predefined categories

Language detection

This technology automatically defines the most likely language in which a text or document is expressed.  It can then be translated for example


This technology's intent is privacy protection. It is the process of removing personally identifiable information from text so that the people whom the data describe remain anonymous

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