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Journal of Library and Information Science in Agriculture ›› 2020, Vol. 32 ›› Issue (10): 47-55.doi: 10.13998/j.cnki.issn1002-1248.2020.10.20-0434

• Research paper • Previous Articles     Next Articles

An Investigation into the Travel Information Needs of Online Q&A Platform Users: Taking Tuniu Q&A Community as an Example

ZHAO Xueqin, WANG Qingqing   

  1. School of History and Culture, Hubei University, Wuhan 430062
  • Received:2020-05-27 Online:2020-10-05 Published:2020-11-20

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Abstract: [Purpose/Significance] In order to optimize online community services, attract and encourage more people with travel intentions to use the Internet to share and obtain travel information, this paper studies the travel information needs of users in the tourism Q&A community. [Method/Process] Firstly, by using the network text mining, we selected the Q&A content about Beijing from the Tuniu Q&A platform as a corpus. Secondly, we used two different keyword extraction algorithms: TF-IDF and TextRank to extract the keywords of each text. Finally, we constructed a co-occurrence network through Gephi and use Gephi's clustering function to clarify the theme of the keywords, so as to grasp the user's travel information needs. [Results/Conclusions] The travel information needs of users in the online travel Q&A community can be roughly divided into 7 categories: accommodation information, food information, traffic information, scenic spot information, group tour information, climate information and planning suggestions. Users have different types of travel information demands which are not separate and independent from each other. There is a staggered relationship between different demands.

Key words: online question and answer platform, network text mining, travel information demand

CLC Number: 

  • G250
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