Book chapter
A Cluster-Based Approach to Broadcast News
Topic Detection and Tracking Event-based Information Organization, pp.149-174
The Information Retrieval Series, volume 12, Springer-Verlag New York
2013
DOI: 10.1007/978-1-4615-0933-2_8
Abstract
We present an approach to detection and tracking of topics in multilingual broadcast news based upon a dynamic clustering scheme. Our approach derives from a system used to filter Web searches from multiple sources, with extensions for pipelining document clusters, part-of-speech tagging and extraction of named entities for use in an extended similarity measure.
Details
- Title: Subtitle
- A Cluster-Based Approach to Broadcast News
- Creators
- David Eichmann - University of Iowa, School of Library and Information SciencePadmini Srinivasan - University of Iowa, Computer Science
- Resource Type
- Book chapter
- Publication Details
- Topic Detection and Tracking Event-based Information Organization, pp.149-174
- Series
- The Information Retrieval Series; volume 12
- DOI
- 10.1007/978-1-4615-0933-2_8
- Publisher
- Springer-Verlag New York; New York
- Date published
- 2013
- Academic Unit
- School of Library and Information Science; Nursing; Computer Science; Business Analytics
- Record Identifier
- 9984003798202771
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