Book chapter
Integrated Approach to Detect Inconspicuous Contents
Professional Knowledge Management
2005
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper describes an integrated approach for detecting inconspicuous contents in text. Inconspicuous contents can be an opinion or goal that may be disguised in some way to mislead automated methods but keeps a clear message for humans (e.g., terrorist sites). Our methodology hypothesizes that patterns that convey inconspicuous contents can be extracted, represented, generalized, and matched in unknown text. The proposed approach is meant to complement data-intensive methods (e.g. clustering). Data-intensive methods are fast but are susceptible to variations in frequency, do not discern meaning, and require a large corpus for training. Our approach relies on manual engineering for natural language interpretation and pattern extraction using no more than ten examples, but is sufficiently fast to complement a real-time application.
Metrics
Details
- Title
- Integrated Approach to Detect Inconspicuous Contents
- Creators
- Rosina Weber - Drexel UniversityIlya Waldstein - Drexel UniversityAmit Deshpande - Drexel UniversityJason M. Proctor - Drexel University
- Publication Details
- Professional Knowledge Management
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000235835600035
- Scopus ID
- 2-s2.0-33745377323
- Other Identifier
- 991019170363104721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence