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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 – 3 of 3 1 Consensus in Sentiment Analysis Carter, Jenny; Chiclana, Francisco; Fujita, Hamido; Appel, Orestes. - : Springer International Publishing, 2021 Abstract: The objective of this chapter is to present a method applicable in group decision-making where computing the opinion of the majority of participants is key. In this article, we present a method that makes use of Induced Ordered Weighted Averaging (IOWA) operators to aggregate a majority opinion out of a number of Sentiment Analysis (SA) classification systems. The numerical output of each SA classification method is used as input to a carefully chosen IOWA operator that is semantically equivalent 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 represent what the majority thinks. Keyword: Consensus Majority support; Ordered weighted averaging; OWA Induced ordered weighted averaging; Sentiment aggregation; Sentiment analysis; Sentiment analysis Consensus Majority support Sentiment aggregation Ordered weighted averaging OWA Induced ordered weighted averaging URL: https://dora.dmu.ac.uk/handle/2086/20823 https://doi.org/10.1007/978-3-030-66474-9_3 BASE Hide 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 A T1OWA Fuzzy Linguistic Aggregation Methodology for Searching Feature-based Opinions. Romero, Francisco P.; Homapour, E.; Chiclana, Francisco. - : Elsevier, 2019 BASE Show details

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