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1
Some Trends in Fuzzy Decision Making
BASE
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2
Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics
BASE
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3
Consensus in Sentiment Analysis
Carter, Jenny; Chiclana, Francisco; Fujita, Hamido. - : Springer International Publishing, 2021
BASE
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4
Sentiment Analysis using TF-IDF Weighting of UK MPs’ Tweets on Brexit
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. ; The past decade saw remarkable growth in the production of user-generated text data due to ever-increasing usage of social media. During the same time Twitter has become an indispensable communication tool for politicians. To explore this link, we examine what usage patterns reveal about users’ opinions on the issue of Brexit, these usage patterns consisting of tweet frequency and length, as well as the terms used and their length. We analyse 185,970 tweets from 576 twitter accounts, each account associated with a Member of the British Parliament (MP). We use regression analysis and sentiment analysis, namely Term Frequency–Inverse Document Frequency (TF–IDF), to investigate if there is a relationship between the features of text data and the characteristics of Twitter users. Whereas these methods have previously been applied to American two-party politics, the multiple parties of the British political landscape have led to previous studies using typological analysis (human classifiers) to identify tweets. We present a methodology that assigns a political value based on an MP’s voting record on a single issue (Brexit). We identify systematic yet subtle differences in the way the two sides of the debate use language, but also specific usage patterns that are common to both.
Keyword: Bigram; Brexit Quotient (BQ); Lexical analysis; Members of Parliament (MPs); TF–IDF; Unigram
URL: https://dora.dmu.ac.uk/handle/2086/21228
https://doi.org/10.1016/j.knosys.2021.107238
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5
Proportional hesitant 2-tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plans
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6
A Fuzzy Approach to Sentiment Analysis at the Sentence Level
Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : Springer International Publishing, 2021
BASE
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7
Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events
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8
Type-1 OWA Operators in Aggregating Multiple Sources of Uncertain Information: Properties and Real-World Applications in Integrated Diagnosis.
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9
Genetic Algorithm-Based Fuzzy Inference System for Describing Execution Tracing Quality
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10
Consistency improvement with a feedback recommendation in personalized linguistic group decision making
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11
ArAutoSenti: automatic annotation and new tendencies for sentiment classification of Arabic messages [<Journal>]
Guellil, Imane [Verfasser]; Azouaou, Faical [Verfasser]; Chiclana, Francisco [Verfasser]
DNB Subject Category Language
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12
Attitude Quantifier Based Possibility Distribution Generation Method for Hesitant Fuzzy Linguistic Group Decision Making
Hao, Jingjing; Chiclana, Francisco. - : Elsevier, 2020
BASE
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13
Multi-stage consistency optimization algorithm to decision-making with incomplete probabilistic linguistic preference relation
Wang, Peng; Liu, Peide; Chiclana, Francisco. - : Elsevier, 2020
BASE
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14
Revisiting Fuzzy and Linguistic Decision-Making: Scenarios and Challenges for Wiser Decisions in a Better Way
BASE
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15
ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages
BASE
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16
Personalized individual semantics-based approach for large scale failure mode and effect analysis with incomplete preference information
Dong, Yucheng; Zhang, Hengjie; Chiclana, Francisco. - : Taylor & Francis Group, 2020
BASE
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17
Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts
Zhang, Hengjie; Dong, Yucheng; Xiao, Jing. - : Elsevier, 2020
BASE
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18
Type-1 OWA operators in aggregating multiple sources of uncertain information : properties and real world applications
BASE
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19
Dealing with incomplete information in linguistic group decision making by means of Interval Type‐2 Fuzzy Sets
In: ISSN: 0884-8173 ; EISSN: 1098-111X ; International Journal of Intelligent Systems ; https://www.hal.inserm.fr/inserm-03026626 ; International Journal of Intelligent Systems, Wiley, 2019, 34 (6), pp.1261-1280. &#x27E8;10.1002/int.22095&#x27E9; (2019)
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20
Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects
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