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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 – 5 of 5 1 A consensus approach to sentiment analysis Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - 2017 BASE Show details 2 An interaction consensus in group decision making under distributed trust information Lifang Dai; Wu, Jian; Chiclana, Francisco. - : IOS Press, 2017 BASE Show details 3 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 4 A consensus approach to the sentiment analysis problem driven by support-based IOWA majority Appel, Orestes; Chiclana, Francisco; Carter, Jenny; Fujita, Hamido. - : John Wiley & Sons, Inc., 2017 Abstract: In group decision-making there are many situations where the opinion of the majority of participants is critical. The scenarios could be multiple, like a number of doctors finding commonality on the diagnose of an illness or parliament members looking for consensus on an specific law being passed. In this article we present a method that utilises Induced Ordered Weighted Averaging (IOWA) operators to aggregate a majority opinion from a number of Sentiment Analysis (SA) classification systems, where the latter occupy the role usually taken by human decision-makers as typically seen in group decision situations. In this case, the numerical outputs of different SA classification methods are used as input to a specific IOWA operator that is semantically close to the fuzzy linguistic quantifier 'most of'. The object of the aggregation will be the intensity of the previously determined sentence polarity in such a way that the results represents what the majority think. During the experimental phase, the use of the IOWA operator coupled with the linguistic quantifier 'most' (IOWA_most) proved to yield superior results compared to those achieved when utilising other techniques commonly applied when some sort of averaging is needed, such as arithmetic mean or median techniques. Keyword: Consensus; Hybrid Sentiment Analysis Method; IOWA; Majority Support; Maximum Entropy; Naïve Bayes; Sentiment Aggregation; Sentiment Analysis URL: https://doi.org/10.1002/int.21878 http://hdl.handle.net/2086/13222 BASE Hide details 5 Visual consensus feedback mechanism for group decision making with complementary linguistic preference relations Chiclana, Francisco; Wu, Jian; Herrera-Viedma, Enrique. - : Springer International Publishing Switzerland, 2014 BASE Show details

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