Bug Detection Through Text Data Mining

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
Text mining is an interdisciplinary field that draws on information retrieval, data mining, machine learning, statistics, and computational linguistics. As most information is currently stored as text, Text Mining is believed to have a high commercial potential value. Text mining, sometimes alternately referred to as text data mining, roughly equivalent to text analysis, refers to the process of deriving high-quality information from text. A typical application is to scan a set of documents written in a natural language and either model the document set for predictive classification purposes or populate a database or search index with the information extracted. One such application of text data mining is bug detection.

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