caa a22 4500 605446652 CHVBK 20210128100128.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s11042-014-2158-0 doi (NATIONALLICENCE)springer-10.1007/s11042-014-2158-0 A holistic model of mining product aspects and associated sentiments from online reviews [Elektronische Daten] [Yan Li, Zhen Qin, Weiran Xu, Jun Guo] Online product reviews are considered a significant information resource useful for both potential customers and product manufacturers. In order to extract the fundamental product aspects and their associated sentiments from those reviews of plain texts, aspect-based sentiment analysis has emerged and has been regarded as a promising technology. This paper proposes a novel model to realize aspect-based sentiment summarization in an integrative way: composing the system with consistently designed feature extraction and clustering, collocation orientation disambiguation, and sentence sentiment strength calculation. Collocations of product features and opinion words are initially extracted through pattern-based bootstrapping. A novel confidence estimation method considering two measurements, Prevalence and Reliability, is exploited to assess both patterns and features. The obtained features are further clustered into aspects. Each cluster is assigned a weight based on arithmetic means of feature similarities and confidences. The orientations of dynamic sentiment ambiguous adjectives (DSAAs) are then determined within opinion collocations. Finally, sentiment strengths of opinion clauses for each aspect are computed according to a set of fine-grained and stratified scoring formulae. Experimental results on a benchmark data set validates the effectiveness of the proposed model. Springer Science+Business Media New York, 2014 Aspect-based sentiment summarization nationallicence Aspect extraction nationallicence Feature clustering nationallicence Opinion collocation orientation nationallicence Sentiment strength nationallicence Li Yan School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Xitucheng Road 10, 100876, Beijing, Haidian District, People's Republic of China aut Qin Zhen School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Xitucheng Road 10, 100876, Beijing, Haidian District, People's Republic of China aut Xu Weiran School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Xitucheng Road 10, 100876, Beijing, Haidian District, People's Republic of China aut Guo Jun School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Xitucheng Road 10, 100876, Beijing, Haidian District, People's Republic of China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/23(2015-12-01), 10177-10194 1380-7501 74:23<10177 2015 74 11042 https://doi.org/10.1007/s11042-014-2158-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-2158-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Yan School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Xitucheng Road 10, 100876, Beijing, Haidian District, People's Republic of China aut NATIONALLICENCE 700 1- Qin Zhen School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Xitucheng Road 10, 100876, Beijing, Haidian District, People's Republic of China aut NATIONALLICENCE 700 1- Xu Weiran School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Xitucheng Road 10, 100876, Beijing, Haidian District, People's Republic of China aut NATIONALLICENCE 700 1- Guo Jun School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Xitucheng Road 10, 100876, Beijing, Haidian District, People's Republic of China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/23(2015-12-01), 10177-10194 1380-7501 74:23<10177 2015 74 11042