Entity Profiling for Intelligence Using the Graphical Overview of Social and Semantic Interactions of People (GOSSIP) Software Tool
- Authors
- Corporate Authors
- Defence R&D Canada - Toronto, Toronto ONT (CAN)
- Abstract
- GOSSIP is a software program designed to help analysts find important entities discussed in a document collection and uncover the nature of the connections among them. It uses computational model of semantic system to create “meaning” representations of all the words/terms it encounters in the collection—including proper names. In this report we demonstrate that the semantic representation of proper names discussed in a document collection can be usefully queried to find out how strongly the entities are associated with a set of user-defined qualities or concepts. We recommend that GOSSIP be trailed in contexts where intelligence analysts or those engaged in influence activities are forced to quickly develop situational awareness about individuals or organizations in a domain from large collections of relevant documents.
- Keywords
- Profiling;Intelligence;Target audience analysis;Influence activities analysis;Latent Semantic Analysis
- Report Number
- DRDC-TORONTO-TR-2010-188 — Technical Report
- Date of publication
- 30 Nov 2010
- Number of Pages
- 33
- DSTKIM No
- CA035258
- CANDIS No
- 535013
- Format(s):
- Electronic Document(PDF)
Document 1 of 1
- Date modified: