Named entity resolution in social media

Paul A. Watters*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


One of the great challenges to automating open source intelligence from sources such as social media is being able to resolve named entities to identify threat actors, and predict their future activities. In this context, a named entity refers to a person, place, or thing by its name. For example, my name is "Paul Watters," and I belong to a category called "human," which is a subset of "animal," In more general cases, named entity resolution involves two separate stages: resolving the name, and resolving the category according to an ontology. In this chapter, two simple cases are explored which make named entity resolution a difficult task: resolving lexical items within a semantic context, and how the propagation of errors can impact the accuracy of subsequent lexical analysis.

Original languageEnglish
Title of host publicationAutomating Open Source Intelligence
Subtitle of host publicationalgorithms for OSINT
EditorsRobert Layton, Paul A. Watters
Place of PublicationWaltham, MA, USA
Number of pages16
ISBN (Print)9780128029169
Publication statusPublished - 2016
Externally publishedYes


  • Computational models
  • Errors
  • Lexical processing
  • Polysemy
  • Semantics


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