Madhusudanan, N and Gurumoorthy, B and Chakrabarti, Amaresh (2016) Evaluation of Methods to Identify Assembly Issues in Text. In: 12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things (PLM), OCT 19-21, 2015, Doha, QATAR, pp. 495-504.
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The work reported in the paper is primarily aimed towards building a knowledge base for diagnosis of aircraft assembly process plans. The first step is to identify the presence of an issue in the text. Various existing methods that deal with issues in engineering are studied and their suitability presented. A study of sample documents across domains, including that of assembly, is then presented. Some key observations from the study are discussed, following which two main methods are explored for their suitability for detecting issues from documents. The first method is based on functional analysis of designs, which deems that an issue is the result of the violation of a function or a related parameter. The second is a Natural Language Processing technique called Sentiment Analysis that aggregates sentiments from individual words. The relative suitability of these methods is then discussed.
| Item Type: | Conference Proceedings |
|---|---|
| Series.: | IFIP Advances in Information and Communication Technology |
| Publisher: | SPRINGER INT PUBLISHING AG |
| Additional Information: | Copyright for this article belongs to the SPRINGER INT PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND |
| Keywords: | Natural language text; Diagnosis; Sentiment analysis |
| Department/Centre: | Division of Mechanical Sciences > Centre for Product Design & Manufacturing |
| Date Deposited: | 25 Aug 2016 10:07 |
| Last Modified: | 25 Aug 2016 10:07 |
| URI: | http://eprints.iisc.ac.in/id/eprint/54351 |
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