• Refine your search:
  • 
    Keyword:
    
    • Consensus (5)
    • Sentiment Analysis (4)
    • Fuzzy sets (3)
    • Maximum Entropy (3)
    • SentiWordNet (3)
    • Sentiment analysis (3)
    • Basel II (2)
    • Computing with Sentiments (2)
    • Decision making (2)
    • Distributed Linguistic Trust (2)
    •   more
  • 
    Creator / Publisher
  • 
    Year:
    
    • 2022 (1)
    • 2021 (9)
    • 2020 (8)
    • 2019 (4)
    • 2018 (4)
    • 2017 (10)
    • 2016 (4)
    • 2015 (3)
    • 2014 (9)
    • 2013 (3)
    •   more
  • 
    Medium:
    
    • Online (61)
    • Print (5)
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 21 – 40 of 66 21 A T1OWA Fuzzy Linguistic Aggregation Methodology for Searching Feature-based Opinions. Romero, Francisco P.; Homapour, E.; Chiclana, Francisco; Olivas, Jose A.; Serrano-Guerrero, Jesus. - : Elsevier, 2019 Abstract: The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. ; Online services such as Amazon, Tripadvisor, Ebay, etc., allow users to express sentiments about different products or services. Not only that, in some cases it is also possible to express sentiments about the different features characterizing those products or services. Most users express sentiments about individual features by using numerical values, which sometimes do not allow users to reflect properly what they are meaning and therefore they are misleading. To overcome this key issue and make users’ opinions in online services more comprehensive, a new methodology for representing sentiments using linguistic term sets instead of numerical values is presented. In addition, this methodology will allow to implement importance degrees on the different features characterizing users’ opinions. From both sentiments and importance of the features, the most important opinions for each user is derived via an aggregation step based on the Type-1 Ordered Weighted Averaging (T1OWA) operator, which is able to aggregate the corresponding fuzzy set representations of linguistic terms. Furthermore, the final output of the T1OWA based-search process can easily be interpreted by users because it is always of the same type (fuzzy) and defined in the same domain of the original fuzzy linguistic labels. A case study is presented where the T1OWA operator methodology is used to assess different opinions according to different user profiles. Keyword: Feature opinion; Feature opinion aggregation; Linguistic model; Sentiment analysis; T1OWA aggregation operator URL: https://doi.org/10.1016/j.knosys.2019.105131 https://dora.dmu.ac.uk/handle/2086/18791 BASE Hide details 22 Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type-2 Fuzzy Sets Urena, Raquel; Kou, Gang; Wu, Jian. - : Wiley, 2019 BASE Show details 23 An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and Fusion: Taxonomy and future directions Cong-Cong, Li; Dong, Yucheng; Xu, Yejun. - : Elsevier, 2018 BASE Show details 24 Flexible inverse adaptive fuzzy inference model to identify the evolution of Operational Value at Risk for improving operational risk management Pena, Alejandro; Bonet, Isis; Lochmuller, Christian. - : Elsevier, 2018 BASE Show details 25 A fuzzy credibility model to estimate the operational value at risk using internal and external data of risk events Pena, Alejandro; Bonet, Isis; Lochmuller, Christian. - : Elsevier, 2018 BASE Show details 26 Preference similarity network structural equivalence clustering based consensus group decision making model Kamis, Nor Hanimah; Chiclana, Francisco; Levesley, Jeremy. - : Elsevier, 2018 BASE Show details 27 A consensus approach to sentiment analysis Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - 2017 BASE Show details 28 An interaction consensus in group decision making under distributed trust information Lifang Dai; Wu, Jian; Chiclana, Francisco. - : IOS Press, 2017 BASE Show details 29 Successes and challenges in developing a hybrid approach to sentiment analysis Fujita, Hamido; Chiclana, Francisco; Appel, Orestes. - : Springer International Publishing, 2017 BASE Show details 30 A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust Chiclana, Francisco; Fujita, Hamido; Herrera-Viedma, Enrique. - : Elsevier, 2017 BASE Show details 31 A consensus approach to the sentiment analysis problem driven by support-based IOWA majority Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : John Wiley & Sons, Inc., 2017 BASE Show details 32 Type-1 OWA Unbalanced Fuzzy Linguistic Aggregation Methodology. Application to Eurobonds Credit Risk Evaluation Chiclana, Francisco; Mata, F.; Herrera-Viedma, Enrique. - : Wiley, 2017 BASE Show details 33 Preference Similarity Network Structural Equivalence Clustering based Consensus Model Chiclana, Francisco; Levesley, Jeremy; Hanimah Kamis, Nor. - : Elsevier, 2017 BASE Show details 34 Linguistic multi-criteria decision-making model with output variable expressive richness Herrera-Viedma, Enrique; Chiclana, Francisco; Cid-Lopez, Andres. - : Elsevier, 2017 BASE Show details 35 Successes and challenges in developing a hybrid approach to sentiment analysis Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - 2017 BASE Show details 36 A Consensus Approach to the Sentiment Analysis Problem Driven by Support-Based IOWA Majority Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : Wiley, 2017 BASE Show details 37 A Hybrid Approach to Sentiment Analysis Appel, Orestes; Fujita, Hamido; Chiclana, Francisco. - : IEEE, 2016 BASE Show details 38 A Hybrid Approach to Sentiment Analysis with Benchmarking Results Appel, Orestes; Fujita, Hamido; Chiclana, Francisco. - : Springer Lectures Notes Computer Science, 2016 BASE Show details 39 A new consensus measure based on Pearson correlation coefficient Chiclana, Francisco; Gonzalez-Arteaga, Teresa; de Andres Calle, Rocio. - : Proceedings of conference, 2016 BASE Show details 40 A Hybrid Approach to the Sentiment Analysis Problem at the Sentence Level Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : Elsevier, 2016 BASE Show details Page: 1 2 3 4

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 4 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 1 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 61 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0