A Comparison of Classification Techniques for Technical Text Passages

— Our work explores the use of several text categorization techniques for classification of manufacturing quality defect and service shop data sets into fixed categories. Although our work was in the area of manufacturing quality the technique is applicable to free form, short text summaries of data that may be stored in a database, file, or document. We refer to these types of text as “technical text passages”. These summaries may not follow standard grammar conventions; they commonly contain abbreviations, technical phrases, misspelled words and industry specific acronyms. Typical types of text to be classified include aircraft engine repair shop findings, industrial manufacturing quality problems and corrective actions, and standardization of attributes in a bill-of-materials. In this paper, we will present our results in using machine learning and rule based algorithms to categorize text. Our results show that the rules based approach is as good as several machine learning ap...

• Type: Conference
• Year: 2007
• Where: WCE
• Authors: Mark M. Kornfein, Helena Goldfarb
• Keywords: Manufacturing Quality, Short Text Summaries, Text Categorization Techniques, WCE 2007, WCE 2008