Text enrichment

Enrich your text data through state-of-the-art NLP and machine learning models: sentiment, topics, concepts, translation, and more.

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15 articles in this collection
Written by Zafer Çavdar and Tomas Larsson

Coreference resolution

Finds all expressions that refer to the same entity in a text.
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Written by Zafer Çavdar
Updated over a week ago

Entity extraction & linking

Detects entities and links them to entities stored in knowledge bases.
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Written by Zafer Çavdar
Updated over a week ago

Score text

Assigns numerical values to texts based on syntactic or semantic similarity
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Written by Zafer Çavdar
Updated over a week ago

Training and deployment of custom text classifiers with Dcipher Analytics

Train custom text classifiers on unlabeled or partially labeled data using the Active Learning approach.
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Written by Zafer Çavdar
Updated over a week ago

Classify text (zero-shot)

Predicts labels using BART-based zero-shot classifiers without requiring training a text classifier beforehand.
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Written by Zafer Çavdar
Updated over a week ago

Tag by rule

Tags values in the selected field based on the defined keyword-based boolean criteria.
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Written by Zafer Çavdar
Updated over a week ago

Sentiment analysis

The Analyze Sentiment operation analyzes the sentiment of input text through deep learning or sentiment lexicons.
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Written by Tomas Larsson
Updated over a week ago

Emojization

The Emojize operation interprets the text and outputs the emojis that best capture the emotional nuances expressed.
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Written by Zafer Çavdar
Updated over a week ago

Topic modeling

Use Detect Topics to identify topics in large volumes of unlabeled text.
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Written by Zafer Çavdar
Updated over a week ago

Concept detection

The Detect Concepts operation finds the underlying concepts in the input text.
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Written by Zafer Çavdar
Updated over a week ago

Language detection

The Detect Language operation detects the language of each input text and outputs the corresponding ISO 639-1 (2-letter) language code.
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Written by Tomas Larsson
Updated over a week ago

Text-level machine translation

The Translate Text operation uses Google Translate to machine translate the input text.
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Written by Tomas Larsson
Updated over a week ago

Word-level machine translation

Translate Words translates between any pair of 58 available languages, enabling multi-language analysis without full text-level translation.
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Written by Zafer Çavdar
Updated over a week ago

Knowledge extraction

Enrich your data by extracting knowledge in the form of triplets
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Written by Zafer Çavdar
Updated over a week ago

Third-party NLP services

Provides access to third-party text enrichment services such as categorization and emotion recognition.
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Written by Tomas Larsson
Updated over a week ago