Text enrichment

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

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.

Written by Zafer Çavdar
Updated over a week ago

Entity extraction & linking

Detects entities and links them to entities stored in knowledge bases.

Written by Zafer Çavdar
Updated over a week ago

Score text

Assigns numerical values to texts based on syntactic or semantic similarity

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.

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.

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.

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.

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.

Written by Zafer Çavdar
Updated over a week ago

Topic modeling

Use Detect Topics to identify topics in large volumes of unlabeled text.

Written by Zafer Çavdar
Updated over a week ago

Concept detection

The Detect Concepts operation finds the underlying concepts in the input text.

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.

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.

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.

Written by Zafer Çavdar
Updated over a week ago

Knowledge extraction

Enrich your data by extracting knowledge in the form of triplets

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.

Written by Tomas Larsson
Updated over a week ago