IIIT Hyderabad Publications |
|||||||||
|
Text Cohesion in CQA - Does it Impact Rating?Authors: LALIT Mohan Mohan,Jahfar Ali,Syed Mohd Ali Rizwi,Y.Raghu Babu Reddy,Dipti M Sharma Conference: The Seventh International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2019) Location National Institute of Technology (NIT), Goa, India Date: 2019-12-19 Report no: IIIT/TR/2019/105 AbstractCommunity Question and Answer (CQA) platforms are expected to provide relevant content that is not readily available through search engines. With an increase in the number of users and growth of internet, CQA platforms have transitioned from generic to domain specifc systems. Expert rating, machine learning and statistical methods are being used for assessing the quality of answers. However, the research on importance of consistency as a quality parameter in the form of text cohesion in CQAs is limited. We extracted 109,113 CQAs from StackExchange related to Information Security of the last 8 years to evaluate text cohesion in answers. An empirical study conducted with 246 participants (Information Security Experts, Software Engineers and Computational Linguists) on the extracted answers stated that lack of text cohesion impacts the rating of answers in CQA. Software Engineers are seekers and viewers of answers, they responded to a survey that lack of text cohesion leads to diffculty in reading and remembering. Information Security Experts providing answers to CQA stated that they need text cohesion for understandability. Full paper: pdf Centre for Software Engineering Research Lab |
||||||||
Copyright © 2009 - IIIT Hyderabad. All Rights Reserved. |