A Public Opinions Monitoring System based on Similarity of Microblogs

DOI

10.2991/citcs.2012.245How to use a DOI?

Keywords

component; formatting; style; styling; insert

Abstract

Public opinion is the development and changes in certain social space around the intermediary social events, public social managers and held social and political attitudes. In order to improve the efficiency of text clustering, this paper proposes a new similarity measure model OFM. In the first stage, OFM proposed a new term relationship search algorithm named CrtURG non-directional graphics integrated relationship. OFM build another called SIM expand ad hoc, said vector algorithm to different instant messaging. Keywords expand overlap probability vector increased and instant messages containing specific semantic information. The experimental results show that, OFM, is superior to the combined effect of surface matching methods and corpus-based approaches

Copyright

© 2012, 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  - Jiajia Miao
AU  - Xuelin Fang
AU  - Guoyou Chen
AU  - Handong Mao
AU  - Le Wang
PY  - 2012/11
DA  - 2012/11
TI  - A Public Opinions Monitoring System based on Similarity of Microblogs
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 963
EP  - 966
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.245
DO  - 10.2991/citcs.2012.245
ID  - Miao2012/11
ER  -