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Fuzzy Domain Ontology-based Opinion Mining for Transportation Network Monitoring and City Features Map
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 Title & Authors
Fuzzy Domain Ontology-based Opinion Mining for Transportation Network Monitoring and City Features Map
Ali, Farman; Kwak, Daehan; Islam, SM Riazul; Kim, Kye Hyun; Kwak, Kyung Sup;
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 Abstract
Traffic congestions are rapidly increasing in urban areas. In order to reduce these problems, it needs real-time data and intelligent techniques to quickly identify traffic activities with useful information. This paper proposes a Fuzzy Domain Ontology(FDO)-based opinion mining system to monitor the transportation network in real-time as well to make a city polarity map for travelers. The proposed system retrieves tweets and reviews related to transportation activities and a city. The feature opinions are extracted from these tweets and reviews and then used FDO to identify transportation and city features polarity. This FDO and intelligent prototype are developed using OWL (Web Ontology Language) and JAVA, respectively. The experimental result shows satisfactory improvement in tweets and review`s analyzing and opinion mining.
 Keywords
Opinion mining;Fuzzy domain ontology;Social network;Transportation;Polarity map;
 Language
English
 Cited by
 References
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