Please wait a minute...
New Technology of Library and Information Service  2002, Vol. 18 Issue (6): 38-40    DOI: 10.11925/infotech.1003-3513.2002.06.14
Current Issue | Archive | Adv Search |
An Analysis on Web-Based Text Mining
Wang Lianjun
(Department of Information Management,Nanjing University,Nanjing 210093,China)
Download: PDF (0 KB)  
Export: BibTeX | EndNote (RIS)      

The relationships between Web-based mining and information retrieving were discussed, and ways of Web-based text mining were put on emphasis. These ways included choices of text characters, text classification and text clustering. Finally, two applications of Web-based text mining were offered.

Key wordsWeb      Text mining      Text classification      Text clustering      Information retrieving     
Received: 28 August 2002      Published: 25 December 2002



Corresponding Authors: Wang Lianjun   
About author:: Wang Lianjun

Cite this article:

Wang Lianjun. An Analysis on Web-Based Text Mining. New Technology of Library and Information Service, 2002, 18(6): 38-40.

URL:     OR

[1] 苏新宁等.信息传播技术.南京:南京大学出版社,1998,(4)
[2] 王继成等.Web文本挖掘技术研究.计算机研究与发展,2001,(5)
[3] 李凡等.关于文本特征抽取新方法的研究.清华大学学报,2001,(7)
[4] 卢正鼎等.利用文本挖掘实现Web智能服务.小型微型计算机系统,2001,(6)
[5] 韩客松等.文本挖掘、数据挖掘和知识管理.情报学报,2001,(2)
[6] 王实等.Web数据挖掘.计算机科学,2000,(4)
[7] 韩家炜等.Web挖掘研究.计算机研究与发展,2001,(4)

[1] Yu Chuanming, Wang Manyi, Lin Hongjun, Zhu Xingyu, Huang Tingting, An Lu. A Comparative Study of Word Representation Models Based on Deep Learning[J]. 数据分析与知识发现, 2020, 4(8): 28-40.
[2] Xia Tian. Extracting Key-phrases from Chinese Scholarly Papers[J]. 数据分析与知识发现, 2020, 4(7): 76-86.
[3] Wang Sidi,Hu Guangwei,Yang Siyu,Shi Yun. Automatic Transferring Government Website E-Mails Based on Text Classification[J]. 数据分析与知识发现, 2020, 4(6): 51-59.
[4] Xu Yuemei,Liu Yunwen,Cai Lianqiao. Predicitng Retweets of Government Microblogs with Deep-combined Features[J]. 数据分析与知识发现, 2020, 4(2/3): 18-28.
[5] Bengong Yu,Yumeng Cao,Yangnan Chen,Ying Yang. Classification of Short Texts Based on nLD-SVM-RF Model[J]. 数据分析与知识发现, 2020, 4(1): 111-120.
[6] Peng Guan,Yuefen Wang. Advances in Patent Network[J]. 数据分析与知识发现, 2020, 4(1): 26-39.
[7] Huaming Zhao,Li Yu,Qiang Zhou. Determining Best Text Clustering Number with Mean Shift Algorithm[J]. 数据分析与知识发现, 2019, 3(9): 27-35.
[8] Weimin Nie,Yongzhou Chen,Jing Ma. A Text Vector Representation Model Merging Multi-Granularity Information[J]. 数据分析与知识发现, 2019, 3(9): 45-52.
[9] Yunfei Shao,Dongsu Liu. Classifying Short-texts with Class Feature Extension[J]. 数据分析与知识发现, 2019, 3(9): 60-67.
[10] Heran Qin,Liu Liu,Bin Li,Dongbo Wang. Automatic Classification of Ancient Classics with Entity Features[J]. 数据分析与知识发现, 2019, 3(9): 68-76.
[11] Mingxuan Huang,Shoudong Lu,Hui Xu. Cross-Language Information Retrieval Based on Weighted Association Patterns and Rule Consequent Expansion[J]. 数据分析与知识发现, 2019, 3(9): 77-87.
[12] Guo Chen,Tianxiang Xu. Sentence Function Recognition Based on Active Learning[J]. 数据分析与知识发现, 2019, 3(8): 53-61.
[13] Zhu Fu,Yuefen Wang,Xuhui Ding. Semantic Representation of Design Process Knowledge Reuse[J]. 数据分析与知识发现, 2019, 3(6): 21-29.
[14] Yanan Yang,Wenhui Zhao,Jian Zhang,Shen Tan,Beibei Zhang. Visualizing Policy Texts Based on Multi-View Collaboration[J]. 数据分析与知识发现, 2019, 3(6): 30-41.
[15] Mengji Zhang,Wanyu Du,Nan Zheng. Predicting Stock Trends Based on News Events[J]. 数据分析与知识发现, 2019, 3(5): 11-18.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938