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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 – 4 of 4 1 Successes and challenges in developing a hybrid approach to sentiment analysis Fujita, Hamido; Chiclana, Francisco; Appel, Orestes; Carter, Jenny. - : Springer International Publishing, 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. ; This article covers some success and learning experiences attained during the developing of a hybrid approach to Sentiment Analysis (SA) based on a Sentiment Lexicon, Semantic Rules, Negation Handling, Ambiguity Management and Linguistic Variables. The proposed hybrid method is presented and applied to two selected datasets: Movie Review and Sentiment Twitter datasets. The achieved results are compared against those obtained when Nai ve Bayes (NB) and Maximum Entropy (ME) supervised machine learning classification methods are used for the same datasets. The proposed hybrid system attained higher accuracy and precision scores than NB and ME, which shows its superiority when applied to the SA problem at the sentence level. Finally, an alternative strategy to calculating the orientation polarity and polarity intensity in one step instead of the two steps method used in the hybrid approach is explored. The analysis of the yielded mixed results achieved with this alternative approach shows its potential as an aid in the computation of semantic orientations and produced some lessons learnt in developing a more effective mechanism to calculating the orientation polarity and polarity intensity. Keyword: Computational linguistic; Computing with Sentiments; Fuzzy sets; Natural language processing; Sentiment Analysis; Sentiment rules; SentiWordNet; Uninorms URL: https://doi.org/10.1007/s10489-017-0966-4 http://hdl.handle.net/2086/14154 BASE Hide details 2 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 3 A Hybrid Approach to Sentiment Analysis with Benchmarking Results Appel, Orestes; Fujita, Hamido; Chiclana, Francisco. - : Springer Lectures Notes Computer Science, 2016 BASE Show details 4 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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