Text Mining of Network Public Opinion Based on Link Template

DOI

10.2991/assehr.k.200723.119How to use a DOI?

Keywords

Subject term, Link template, Network public opinion, Text mining

Abstract

Collecting information is the basis of network public opinion analysis, judgment and developing countermeasure. How to improve the efficiency and accuracy of retrieval is an important problem. This paper expounds the selection of search words from the forms of synonym, antonym, hypernym and hyponym, fallible form of retrieval words; the web link filtering by analyzing from the structure of web pages; extraction the webpage text mainly from the template learning analysis; the text part filtering by analyzing the frequency of search words, the relevancy of web page theme and relevancy of URL theme. The research results improve the efficiency and accuracy of text mining.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tianzhi Wang
PY  - 2020
DA  - 2020/07/24
TI  - Text Mining of Network Public Opinion Based on Link Template
BT  - Proceedings of the 2020 International Conference on Advanced Education, Management and Social Science (AEMSS2020)
PB  - Atlantis Press
SP  - 142
EP  - 146
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200723.119
DO  - 10.2991/assehr.k.200723.119
ID  - Wang2020
ER  -