A Tool Design of Subjective Question Answering Using Text Mining

Thomas, Ani; Sharma, H. R.; Sharma, Sanjay

ISBN 10: 3659519979 / ISBN 13: 9783659519970

Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

About this Item

Print on Demand pp. 200 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Seller Inventory # 132780852

Bibliographic Details

• Title: A Tool Design of Subjective Question Answering Using Text Mining
• Publisher: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG
• Publication Date: 2014
• Language: English
• ISBN 10: 3659519979
• ISBN 13: 9783659519970
• Binding: Soft cover
• Condition: New

About this title

Synopsis

The subjective answer evaluations performed on large scale, say in academia, show that human evaluations remain biased and are subject to specific guidelines given to human assessors. An attempt is made to generate unbiased system. The overall system’s functionality relies on three main components, namely, question processing component, the search component and the answer-evaluation component. The parts of e-book in the knowledge sources are annotated and classified according to the bootstrapping ontologies of the subject domain. In continuum with the efforts put by computational linguistic communities towards automatic retrieval of text semantics, an algorithm is designed to automatically generate ‘model answer’ for any keyed-in question or series of related questionnaires. An attempt is made to extract the most meaningful textual fragments from natural language sentences, highlighting the semantic sense of the explained discourse. The research focus roots upon extracting the noun phrases existing in dominating subject and object roles that are intended to connect to the verb phrases, forming triplet components for whole sentence or a part of it.

About the Author

Dr. (Mrs.) Ani Thomas is Professor and Head of the Department of Computer Applications, Bhilai Institute of Technology, Durg (C.G.) , India. She has published 9 international and 2 national journal papers and more than 20 conference papers. She is life member of ISTE, IDES and CSI. Her focus of research includes Text Mining and Machine Learning.