HOW CONTENT ANALYST PROVIDES VALUE
Unstructured documents and emails compose some 85% of most stored information. Whether you call it ESI (Electronic Stored Information), open source, or big data, gaining insights from it or just organizing it is a big problem for most software solutions.
This is where Content Analyst makes the difference. Designed to rapidly uncover insights from those unstructured documents and emails, our CAAT platform provides unique value to partners who integrate its capabilities into their software applications.
Unsupervised Classification
Without knowing anything about the data, CAAT will dynamically cluster all of the documents into a hierarchy of conceptually similar groups. From legal review to intelligence analysis this capability can help people focus on the important topics quickly with no up-front work and no pre-defined taxonomy to limit insights from relationships the data can show you.
Supervised Classification
When you are sorting or tagging documents that are related to specific categories, supervised classification, or categorization, is the way to go. CAAT creates a conceptual understanding of the category from example documents for a more human-like review of the documents being processed. Our approach is extremely fast, highly precise, language independent and easy to train.
Concept Searching for Relevant Information
Different people use the same terminology to describe a particular concept or idea less than 20% of the time. Concept searching allows them to find relevant information even when the text of their query differs from the text of the documents in the index. Content Analyst's patented technology based on LSI is capable of searching based on concepts, not simply "stab-in-the-dark" keywords.
Optimizing Email Review and Analysis
Our suite of tools for optimizing the review of emails, for example in legal review, can speed up the review so the focus is on the important items. From email threading to text near duplicate analysis tools, CAAT delivers. Combine this analysis with our categorization and truly enhance the focus and time saving; just ask.
Searching Across Languages
Content Analyst is unique in its capability to support multi and cross-lingual search without prior translation. CAAT is naturally language-agnostic due to its mathematical nature. CAAT offers language identification as well. CAAT offers two approaches to working with multi-language data. One–separate each language into a separate index, use language experts for review, translate hot docs to other languages. Two–with some structured input (parallel corpora) build cross-lingual index, enabling text in one language to conceptually match text in another – without the need to translate either document first.
Conceptual Keyword Expansion
CAAT has the ability to find terms with similar relationships in the information processed. This means terms that standard approached (dictionaries, "fuzzy matching", etc.) would missed can be suggested to find documents that other approaches would miss.
Identifying similar words and terms
CAAT understands the conceptual similar or relevance between every word in every document across all the documents or information in an index. Unlike keyword expansion or other techniques, each additional term which CAAT identifies using its Instant Context capability has some conceptual relevance to the word or terms being queried.
Creating Document Summaries
Content Analyst can apply its conceptual analysis to deliver summaries of long documents based on actual sentences within those documents with the simple press of a key.
