Text analytics Solution

Intelligence Analysis

Intelligence analysts are faced with an ever-growing volume, variety, and velocity of data. With roughly 80% of information existing in unstructured form, advanced and scalable text analytics are needed to extract information and uncover the insights critical to national security.

NetOwl delivers high‑accuracy, high‑speed identification of entities, relationships, and events across large text collections. It not only detects events but also reveals the entities involved and their specific roles. By transforming unstructured data into structured information that is exploitable by many analytical tools, NetOwl enables intelligence analysts to quickly surface complex information and patterns and focus their time on deeper analysis and risk assessment.

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Knowledge Discovery – Beyond Search

Traditional search works well when we know exactly what we are looking for, but it quickly breaks down with broad questions, such as, “Tell me everything about this new individual named X.” Intelligence analysts must sift through enormous volumes of data to uncover key insights about X, including their background, networks of key associates, patterns of activity, and more. Time is critical, and manually reviewing pages after pages of search results is simply not sufficient.

NetOwl can analyze massive volumes of texts in near-real time and at scale and automatically construct a structured “biography” of a person or organization thanks to its entity, relationship, and event extraction. Such a biography may contain, for example, a person’s relationships to other people and organizations, the person’s activities, and even the person’s physical characteristics. NetOwl can also surface events of interest to intelligence analysts in which the person participated (e.g., travel, meeting) and compile all associated information, including other participants, dates, and locations of the events. Instead of reading through a large amount of texts, analysts can focus their time on verification and deeper analysis of what NetOwl discovers.

Link Analysis – Connecting the Dots

One of the core functions in many intelligence analysis applications is the discovery and understanding of the “network” an individual or organization of interest is part of. Networks can be based on relationships between two entities, such as a familial relationship between two people or a membership relationship between a person and an organization. NetOwl’s relationship extraction helps find such relationships in texts.

Networks can also be inferred from the entities participating in certain events. For example, intelligence analysts may be interested in individuals participating in a meeting or the organizations involved in shipping of certain artifacts to uncover hidden connections. NetOwl’s event extraction enables discovery of different types of event-based connections among entities from texts.

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Geospatial Analysis – From Texts to Maps

Some analyses are best done geospatially (e.g., real-time operational awareness, emergency response, crime analysis). Text data contains a wealth of geospatial information about entities and events, but there is one problem – texts do not usually come in a format usable by geospatial analysis tools such as Esri ArcGIS and Google Maps. NetOwl’s Smart Geotagging solves this problem.

By geotagging location entities mentioned in texts and then associating other entities like people, organizations, and events to those locations through semantic extraction, NetOwl produces the structured output needed to build a rich geospatial index of unstructured text data. In its simplest form, an analyst can select an area on a map and ask for texts that are relevant to this area. In a more advanced case, analysts can ask for events of interest displayed on a map so as to discover trends and anomalies or monitor ongoing situations.