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21
A T1OWA Fuzzy Linguistic Aggregation Methodology for Searching Feature-based Opinions.
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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
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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
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24
Flexible inverse adaptive fuzzy inference model to identify the evolution of Operational Value at Risk for improving operational risk management
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25
A fuzzy credibility model to estimate the operational value at risk using internal and external data of risk events
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26
Preference similarity network structural equivalence clustering based consensus group decision making model
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27
A consensus approach to sentiment analysis
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28
An interaction consensus in group decision making under distributed trust information
Lifang Dai; Wu, Jian; Chiclana, Francisco. - : IOS Press, 2017
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29
Successes and challenges in developing a hybrid approach to sentiment analysis
Fujita, Hamido; Chiclana, Francisco; Appel, Orestes. - : Springer International Publishing, 2017
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30
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
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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
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32
Type-1 OWA Unbalanced Fuzzy Linguistic Aggregation Methodology. Application to Eurobonds Credit Risk Evaluation
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33
Preference Similarity Network Structural Equivalence Clustering based Consensus Model
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34
Linguistic multi-criteria decision-making model with output variable expressive richness
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35
Successes and challenges in developing a hybrid approach to sentiment analysis
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36
A Consensus Approach to the Sentiment Analysis Problem Driven by Support-Based IOWA Majority
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37
A Hybrid Approach to Sentiment Analysis
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38
A Hybrid Approach to Sentiment Analysis with Benchmarking Results
Appel, Orestes; Fujita, Hamido; Chiclana, Francisco. - : Springer Lectures Notes Computer Science, 2016
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39
A new consensus measure based on Pearson correlation coefficient
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40
A Hybrid Approach to the Sentiment Analysis Problem at the Sentence Level
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 objective of this article is to present a hybrid approach to the Sentiment Analysis problem at the sentence level. This new method uses natural language processing (NLP) essential techniques, a sentiment lexicon enhanced with the assistance of SentiWordNet, and fuzzy sets to estimate the semantic orientation polarity and its intensity for sentences, which provides a foundation for computing with sentiments. The proposed hybrid method is applied to three different data-sets and the results achieved are compared to those obtained using Naïve Bayes and Maximum Entropy techniques. It is demonstrated that the presented hybrid approach is more accurate and precise than both Naïve Bayes and Maximum Entropy techniques, when the latter are utilised in isolation. In addition, it is shown that when applied to datasets containing snippets, the proposed method performs similarly to state of the art techniques.
Keyword: Computing with Sentiments; Fuzzy sets; Maximum Entropy; Na ïve Bayes; Semantic rules; Sentiment Analysis; SentiWordNet; Unsupervised machine learning
URL: http://hdl.handle.net/2086/12093
https://doi.org/10.1016/j.knosys.2016.05.040
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