Journal of Xidian University ›› 2019, Vol. 46 ›› Issue (2): 119-123.doi: 10.19665/j.issn1001-2400.2019.02.020

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Method for user interest and capability analysis in social Q&A websites

HUANG Ying1,HE Ting2,PEI Qingqi2   

  1. 1. School of Information Engineering, Xi’an Univ. of Arts and Science, Xi’an 710067, China
    2. School of Telecommunications Engineering, Xidian Univ., Xi’an 710071, China
  • Received:2018-09-18 Online:2019-04-20 Published:2019-04-20

Abstract:

To deal with the problems of the existing Social Question Answering(SQA) websites such as insufficient quality of answers, users receiving excessive information, and long Q&A cycles, a method for NLP-based (Natural Language Processing) user interest and capacity analysis is proposed. The algorithm for calculating the degree of feature words of different benchmarks is proposed. Through the user data of the social question and answer website, the accuracy of the results of the algorithm itself is evaluated by using its own labels of the question as the verification standard, including the coincidence degree of the classification tree and the accuracy of the label item vectors.

Key words: social Q&A website, user interest extraction, user capability analysis, natural language processing

CLC Number: 

  • TN82