文章基本信息

标题：A Framework to process Text Data of Web Discussion Forums A Study of LisLinks
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作者：Mohit Garg ; Uma Kanjilal
期刊名称：DESIDOC Journal of Library & Information Technology
电子版ISSN：0976-4658
出版年度：2019
卷号：39
期号：06
页码：315-321
DOI：10.14429/djlit.39.06.15145
出版社：DESIDOC, Ministry of Defence, India
摘要：Nowadays, people use the internet for both seeking and disseminating information in a collaborative way on various social media platforms like Quora, Yahoo Answers, LisLinks Forum, etc. This social interaction on different topics makes these platforms as a knowledge repository. Evaluation of these repositories can help to understand various trends. However, this evaluation is a challenging task because of unstructured data and the unavailability of application programming interfaces for the harvesting of a dataset. This study presented a framework to harvest and pre-processing of data available on LisLinks Forum. The proposed framework is implemented using statistical programming language R. The fourteen metadata elements were defined for the discussion forums. The framework automatically harvest and pre-process relevant data of posts.
关键词：Text mining;Discussion forums;LIS Links;Data pre-processing