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dc.contributor.authorVerma, A. A.-
dc.contributor.authorIyengar, S.R.S.-
dc.contributor.authorGandhi, N.-
dc.date.accessioned2021-06-21T22:35:04Z-
dc.date.available2021-06-21T22:35:04Z-
dc.date.issued2021-06-22-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1894-
dc.description.abstractIn 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.isoen_USen_US
dc.subjectWikipediaen_US
dc.subjectopensourceen_US
dc.subjecttext-miningen_US
dc.subjectNLPen_US
dc.titleWiTPy: a toolkit to parse and analyse wikipedia talk pagesen_US
dc.typeArticleen_US
Appears in Collections:Year-2020

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