Custom text classification

Text

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

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Sentiment Analysis

Sentiment Analysis allows you to extract emotions and feelings in a given string of text. Also called Opinion Mining, it uses Natural Language Processing (NLP), text analysis and computational linguistics to identify and detect subjective information from the input text.

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Sentiment Analysis
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Named Entity Recognition

NER (also called entity identification or entity extraction) is an information extraction technique that automatically identifies named entities in a text (places, people, brands, and events) and classifies them into predefined categories.

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Named Entity Recognition
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Keyword Extraction

Keyword extraction (also known as keyword detection or keyword analysis) is a text analysis technique that consists of automatically extracting the most important words and expressions in a text or a document.

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Keyword Extraction
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Language Detection

Language Detection automatically defines the most likely language in which a text or document is expressed.

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Language Detection
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Summarization

Summarization is the process of reducing a text to a shorter form while keeping the most important information.

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Summarization
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Question Answering

Question Answering generates an answer to a question based on a set of documents. This is useful for question-answering applications on sources of truth, like company documentation or a knowledge base.

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Question Answering
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Semantic Search

Semantic Search allows you to do a semantic search over a set of documents. This means that you can provide a query, such as a natural language question or a statement, and the provided documents will be scored and ranked based on how semantically related they are to the input query.

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Semantic Search
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Syntax Analysis

Syntax Analysis (also called Parsing) is used to carry out a syntax analysis of a given text to reveal the syntactic components and their grammatical relationships.

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Syntax Analysis
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Text Anonymization

Text Anonymization's intent is privacy protection. It is the process of removing personally identifiable information from text so that the people described by the data remain anonymous.

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Text Anonymization

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