Ask It Right! Identifying Low-Quality questions on Community Question Answering Services

Author:

Arora Udit1,Goyal Nidhi1,Goel Anmol2,Sachdeva Niharika3,Kumaraguru Ponnurangam1

Affiliation:

1. IIIT-Delhi,New Delhi,India

2. IIIT-Hyderabad,Hyderabad,India

3. InfoEdge India Limited,Noida,India

Funder

SERB

Publisher

IEEE

Reference43 articles.

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5. Assessing the performance of question-and-answer communities using survival analysis;ortega;CoRR,2014

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Innovative Academic Question Analyzer for Students Using Support Vector Classifier Algorithm;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

2. Automatic Structuring of Topics for Natural Language Generation in Community Question Answering in Programming Domain;Computational Science – ICCS 2023;2023

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