Tourist Information Extraction Method from Tweets Without Tourist Spot Names for Tourist Information Visualization System

被引：0
|
作者：
Watanabe, Sayuri [1 ]
Yoshino, Takashi [1 ]
机构：
[1] Wakayama Univ, Grad Sch Syst Engn, Sakaedani 930, Wakayama, Japan
来源：
COLLABORATION TECHNOLOGIES AND SOCIAL COMPUTING | 2017年 / 10397卷
关键词：
Tourist information; Information extraction; Information analysis; Twitter;
D O I：
10.1007/978-3-319-63088-5_10
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We developed a system to extract tourist information from the web. However, insufficient tourist information is often provided from Twitter. We believe that previous methods could not consider tweets about tourist spots that did not contain the tourist spot name. In this study, we propose a tourist information extraction method from tweets without tourist spot names. In our experiment, we evaluated whether tourist information was contained in tweets before and after tweets containing the tourist spot names, tweets of followers of the user who tweeted tourist spot names, and tweets with images that do not contain tourist spot names. The experiments provided the following three results: (1) Tweets without tourist spot names tweeted before and after tweets containing tourist spot names contain tourist information. (2) Replies to tweets containing tourist spot names contain tourist information. (3) Tweets with images that do not contain tourist spot names contain information regarding the food and entertainment available at tourist spots.
引用
收藏
页码：107 / 115
页数：9
相关论文
共 50 条
  • [21] The Research of Information Extraction in Information System from SQL Server Based on System Table
    Chen, Huantong
    Zheng, Wei
    Chen, Yaofei
    Ni, Yinghua
    ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEM AND MATERIAL ENGINEERING, 2013, 675 : 35 - +
  • [22] Information extraction from the Web: System and techniques
    Xiao, L
    Wissmann, D
    Brown, M
    Jablonski, S
    APPLIED INTELLIGENCE, 2004, 21 (02) : 195 - 224
  • [23] Machine Learning and Deep Learning based Information Extraction from Bangla Names
    Kowsher, Md
    Sanjid, Md Zahidul Islam
    Das, Avishek
    Ahmed, Mahid
    Sarker, Md Murad Hossain
    9TH INTERNATIONAL YOUNG SCIENTISTS CONFERENCE IN COMPUTATIONAL SCIENCE, YSC2020, 2020, 178 : 224 - 233
  • [24] Information Extraction from the Web: System and Techniques
    Luo Xiao
    Dieter Wissmann
    Michael Brown
    Stephan Jablonski
    Applied Intelligence, 2004, 21 : 195 - 224
  • [25] A new method of information extraction from PDF files
    Yuan, F
    Liu, B
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 1738 - 1742
  • [26] Extraction and Visualization of Occupational Health and Safety Related Information from Open Web
    Dasgupta, Tirthankar
    Naskar, Abir
    Saha, Rupsa
    Dey, Lipika
    2018 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2018), 2018, : 434 - 439
  • [27] RINX: A system for information and knowledge extraction from resumes
    Palshikar, Girish K.
    Pawar, Sachin
    Banerjee, Anindita Sinha
    Srivastava, Rajiv
    Ramrakhiyani, Nitin
    Patil, Sangameshwar
    Thosar, Devavrat
    Bhat, Jyoti
    Jain, Ankita
    Hingmire, Swapnil
    Chaurasia, Saheb
    Mandloi, Payodhi
    Chalavadi, Durgesh
    DATA & KNOWLEDGE ENGINEERING, 2023, 147
  • [28] Mining information extraction rules from datasheets without linguistic parsing
    Agrawal, R
    Ho, H
    Jacquenet, F
    Jacquenet, M
    INNOVATIONS IN APPLIED ARTIFICIAL INTELLIGENCE, 2005, 3533 : 510 - 520
  • [29] A Rapid Method for Information Extraction from Borehole Log Images
    Zhang, Junqiang
    Zhang, Yi
    Tian, Yiping
    Liu, Gang
    Xu, Lirui
    Hu, Yong
    APPLIED SCIENCES-BASEL, 2020, 10 (16):
  • [30] Relevant Piece of Information Extraction from Presentation Slide Page for Slide Information Retrieval System
    Hayama, Tessai
    Kunifuji, Susumu
    KNOWLEDGE, INFORMATION, AND CREATIVITY SUPPORT SYSTEMS, 2011, 6746 : 22 - +
12345