Improving Full Text Search with Text Mining Tools

被引:0
|
作者
Piao, Scott [1 ]
Rea, Brian [1 ]
McNaught, John [1 ]
Ananiadou, Sophia [1 ]
机构
[1] Univ Manchester, Sch Comp Sci, Natl Ctr Text Min, Manchester, Lancs, England
关键词
Information Retrieval; Full Text Search; Term extraction; Termine; Document clustering; Natural Language processing;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
引用
收藏
页码:301 / 302
页数:2
相关论文
共 50 条
  • [1] CONCEPTS EXPLICATION OF THE HUMANITIES AND FULL-TEXT SEARCH TOOLS
    Lyapin, Sergey Kh.
    Tolstikova, Irina I.
    PSYCHOLOGY AND PSYCHIATRY, SOCIOLOGY AND HEALTHCARE, EDUCATION, VOL II, 2015, : 213 - 219
  • [2] tmBioC: improving interoperability of text-mining tools with BioC
    Khare, Ritu
    Wei, Chih-Hsuan
    Mao, Yuqing
    Leaman, Robert
    Lu, Zhiyong
    DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2014,
  • [3] Towards a unified search: Improving PubMed retrieval with full text
    Kim W.
    Yeganova L.
    Comeau D.C.
    Wilbur W.J.
    Lu Z.
    Journal of Biomedical Informatics, 2022, 134
  • [4] A method for improving full text search using signature files
    Yamakawa, Y
    Fuketa, M
    Morita, K
    Aoe, J
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2001, 77 (01) : 73 - 88
  • [5] Comparison of Text Mining Tools
    Kaur, Arvinder
    Chopra, Deepti
    2016 5TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO), 2016, : 186 - 192
  • [6] Full Text Search for Companies
    不详
    INFORMATION-WISSENSCHAFT UND PRAXIS, 2023, 74 (01): : 83 - 83
  • [7] Working with Text. Tools, Techniques and Approaches for Text Mining
    Savoy, Jacques
    JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2018, 69 (01) : 181 - 184
  • [8] IMPROVING FULL-TEXT SEARCH PERFORMANCE THROUGH TEXTUAL ANALYSIS
    MOLTO, M
    INFORMATION PROCESSING & MANAGEMENT, 1993, 29 (05) : 615 - 632
  • [9] Comparative study of text mining tools
    Spinakis, A
    Chatzimakri, A
    Knowledge Mining, 2005, 185 : 223 - 232