i2 TextChart enables you to efficiently analyze a collection of unstructured documents in a single integrated application through a combination of manual input and automated text analysis.
Used by numerous government and commercial installations for over 10 years, it is a proven solution to expedite investigations.
Easily exploit large volumes of unstructured data from a variety of documents such as reports, emails, and web pages.
More than 30 key entities are automatically exacted, including people, identification numbers, dates, organizations, crimes, and locations. Import documents in 200+ languages.
Avoid manual cross-checking by automatically matching entities across documents.
Consistently and repeatably analyze documents to extract real-world objects, their relationships, and underlying sentiment.
TextChart enables data analysts to process these vast resources. Without the right tools they are less able to exploit intelligence from this potentially valuable pool of data.
Unlocking access to such a significant amount of data uncovers a greater number of insights, improves the robustness of the analysis, and drives better decisions.
In just one click, TextChart will process a collection of documents. Users can then select an extracted entity to view more details, including all its occurrences and links to it within source documents.
Users can import numerous document types, including plain text, rich text, HTML, PDF, Microsoft Word, Microsoft Excel, and OpenOffice. And of course, the extracted data will be free of human errors associated with re-typing or transcribing information.
The same entities found within the documents – even across different languages – will all be linked.
TextChart can process documents in over 200 different languages without the need to know the language in advance. It’s all done automatically.
Support is also provided for a rough translation into English to allow you to continue to work on a case if you are unfamiliar with the language of the source document.
Watch TextChart import 19 documents in different languages and extract various entities including addresses, events, and people in only three minutes.
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How our solutions have helped deliver real-world results.
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