What is Scraawl TxT®?

Document and media exploitation tool

Scraawl TxT® is a search and analytics toolbox that leverages advanced machine learning techniques to facilitate knowledge discovery from unstructured text. Scraawl TxT® offers context-aware multi-source text information extraction and extends current search and analysis capabilities by enabling the exploration of large bodies of text. Analysts can quickly search and explore large volumes of unstructured text; identify the most relevant and valuable information; and discover and monitor interesting patterns of topics, opinions, and/or interactions.

What can Scraawl TxT®do for you?

Leverage natural language processing and graph analytics for data exploitation

Scraawl TxT® provides analysts with an interactive dashboard for scalable discovery from scattered, heterogeneous datasets (both structured and unstructured) such as news articles, reports, blogs, documents, comments, chat transcripts, SMS, and e-mail. With Scraawl TxT® users can perform multidimensional search for key actors, discover topics, events, and relationships of interest, topic clusters, and compare analysis results based on context variables such as time, authorships, sentiment, and source. With Scraawl TxT®, users can perform multidimensional search for key actors; discover topics, events, and relationships of interest; and compare analysis results based on context variables such as time, author, sentiment, or source.

Advanced Text Analytics

All the analytics you’ll ever need, at your fingertips, anytime, anywhere

Dynamic Dashboard

A web-based visualization and analytics dashboard for easy access anytime, anywhere, and on any device.

Scalable Pipeline

A scalable data ingestion pipeline to index and store large volumes (terabytes) of content and scanned documents in multiple languages.

Full Text Features

Advanced full-text search options in combination with rich Boolean logic and interactive filters to search and explore data.

Entity Recognition and Resolution

Detection and resolution of named entities in the text, such as organizations, people, and locations.

Entity Relationship Graph

Graph to explore and search for relationships between entities within and across documents.

Topic Clusters

Common themes and topics of conversation across your repository of documents that can be used for filtering and analysis.

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