Detecting Entities

Detecting, identifying, and redacting entities are a core part of structuring web data into insights. This kit provides the basic capabilities needed for entity detection.

alphaMountain URL Category Classifier

Get the content classification for up to 89 categories including Malware, Suspicious, Phishing

Datastreamer Dialect Detection Model

Detect dialect and slang in multilingual content

Datastreamer Dominant Location Classifier

Detect the dominant location mentioned in content that could overload NER results.

Datastreamer Emotion Detection Classifier

Detect emotions.

Datastreamer Entity Recognition

NER for short-form content. Detecting persons, locations, and organizations.

Datastreamer ESG Classifier

Analyze and categorize content according to environmental, social, or governance categories

Datastreamer Event Detection Classifier

Detect and classify an event occuring.

Datastreamer Ingredient Detection Classifier

Detect and classify ingredients, fabrics, and components.

Datastreamer Language Detection

Detecting languages using Datastreamer language detection model.

Datastreamer PDF Type Detection

Detect and route PDFs based on if their creation format.

Datastreamer Product Detection Classifier

Detects products mentioned in content.

Datastreamer Spam Detection Classifier

Detect and classify spam content

Datastreamer User Behaviour Classifier

Detect and classify the behaviour a user describes.

Private AI PII Redaction

Real-time detection, anonymization, redaction, and replacement of PII.

Tisane Abusive Content Detection

Automatic detection of abusive content in text

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