Description
Text classification, in the artificial intelligence domain, is an activity in which text documents are automatically classified into predefined categories using machine learning techniques. An example of this is classifying uncategorized news articles into different predefined categories such as "Business", "Politics", "Education", "Technology" , etc.
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Contributors
- Karad, Ravi Chandravadan (Author)
- Davulcu, Hasan (Thesis advisor)
- Corman, Steven (Committee member)
- Sen, Arunabha (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2013
Subjects
- Computer Science
- A Semantic Triplet Based Story Classifier
- Machine Learning
- Natural Language Processing
- Ravi Karad
- SVM (Support Vector Machine) classifier
- Text classification
- Supervised learning (Machine learning)
- Natural language processing (Computer science)
- Support Vector Machines
- Semantic computing
Resource Type
Collections this item is in
Note
- Partial requirement for: M.S., Arizona State University, 2013Note typethesis
- Includes bibliographical references (p. 54-56)Note typebibliography
- Field of study: Computer science
Citation and reuse
Statement of Responsibility
by Ravi Chandravadan Karad