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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 Hits 1 – 14 of 14 1 Consensus in Sentiment Analysis Carter, Jenny; Chiclana, Francisco; Fujita, Hamido. - : Springer International Publishing, 2021 BASE Show details 2 A Fuzzy Approach to Sentiment Analysis at the Sentence Level Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : Springer International Publishing, 2021 BASE Show details 3 Best Practices of Convolutional Neural Networks for Question Classification Pota, Marco; Fujita, Hamido. - : MDPI, 2020 BASE Show details 4 Hesitant Fuzzy Linguistic Preference Utility Set and Its Application in Selection of Fire Rescue Plans Liao, Huchang; Si, Guangsen; Xu, Zeshui. - : MDPI, 2018 BASE Show details 5 A consensus approach to sentiment analysis Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - 2017 BASE Show details 6 An interaction consensus in group decision making under distributed trust information Lifang Dai; Wu, Jian; Chiclana, Francisco. - : IOS Press, 2017 BASE Show details 7 Successes and challenges in developing a hybrid approach to sentiment analysis Fujita, Hamido; Chiclana, Francisco; Appel, Orestes. - : Springer International Publishing, 2017 BASE Show details 8 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; Wu, Jian; Dai, Lifang. - : Elsevier, 2017 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. ; A theoretical feedback mechanism framework to model consensus in social network group decision making (SN-GDM) is proposed with following two main components: (1) the modelling of trust relationship with linguistic information; and (2) the minimum adjustment cost feedback mechanism. To do so, a distributed linguistic trust decision making space is defined, which includes the novel concepts of distributed linguistic trust functions, expectation degree, uncertainty degrees and ranking method. Then, a social network analysis (SNA) methodology is developed to represent and model trust relationship between a networked group, and the trust in-degree centrality indexes are calculated to assign an importance degree to the associated user. To identify the inconsistent users, three levels of consensus degree with distributed linguistic trust functions are calculated. Then, a novel feedback mechanism is activated to generate recommendation advices for the inconsistent users to increase the group consensus degree. Its novelty is that it produces the boundary feedback parameter based on the minimum adjustment cost optimisation model. Therefore, the inconsistent users are able to reach the threshold value of group consensus incurring a minimum modification of their opinions or adjustment cost, which provides the optimum balance between group consensus and individual independence. Finally, after consensus has been achieved, a ranking order relation for distributed linguistic trust functions is constructed to select the most appropriate alternative of consensus. Keyword: Consensus; Distributed Linguistic Trust; Feedback Mechanism; Group Decision Making; Minimum Adjustment Optimization Model; Social Network Analysis URL: http://hdl.handle.net/2086/14514 https://doi.org/10.1016/j.inffus.2017.09.012 BASE Hide details 9 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 10 Successes and challenges in developing a hybrid approach to sentiment analysis Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - 2017 BASE Show details 11 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 12 A Hybrid Approach to Sentiment Analysis Appel, Orestes; Fujita, Hamido; Chiclana, Francisco. - : IEEE, 2016 BASE Show details 13 A Hybrid Approach to Sentiment Analysis with Benchmarking Results Appel, Orestes; Fujita, Hamido; Chiclana, Francisco. - : Springer Lectures Notes Computer Science, 2016 BASE Show details 14 A Hybrid Approach to the Sentiment Analysis Problem at the Sentence Level Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : Elsevier, 2016 BASE Show details

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