WiTPy: a toolkit to parse and analyse wikipedia talk pages

dc.contributor.author	Verma, A. A.
dc.contributor.author	Iyengar, S.R.S.
dc.contributor.author	Gandhi, N.
dc.date.accessioned	2021-06-21T22:35:04Z
dc.date.available	2021-06-21T22:35:04Z
dc.date.issued	2021-06-22
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1894
dc.description.abstract	In this article, we propose an opensource toolkit to extract, parse, and analyze the Wikipedia talk pages. The core parser uses a tree-based approach to parse the unstructured comments and a JSON(JavaScript Object Notation) structure to store them in a NoSQL(not only SQL) database. User-friendly and high-level analysis methods are created on the top of NoSQL database, which can be used to understand the collaboration dynamics on article talk pages. CCS CONCEPTS • Information systems → Specialized information retrieval; • Human-centered computing → Wikis.	en_US
dc.language.iso	en_US	en_US
dc.subject	Wikipedia	en_US
dc.subject	opensource	en_US
dc.subject	text-mining	en_US
dc.subject	NLP	en_US
dc.title	WiTPy: a toolkit to parse and analyse wikipedia talk pages	en_US
dc.type	Article	en_US