A Public Opinions Monitoring System based on Similarity of Microblogs
Jiajia Miao, Xuelin Fang, Guoyou Chen, Handong Mao, Le Wang
Available Online November 2012.
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- 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
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Cite this article
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 - 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 - https://doi.org/10.2991/citcs.2012.245 ID - Miao2012/11 ER -