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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 Page: 1 2 Hits 1 – 20 of 26 1 Explainable sentiment analysis application for social media crisis management in retail Jacob, Antonio; Lobato, Fabio; Bezbradica, Marija... In: Cirqueira, Douglas orcid:0000-0002-1283-0453 , Almeida, Fernando, Cakir, Gültekin orcid:0000-0001-9715-7167 , Jacob, Antonio orcid:0000-0002-9415-7265 , Lobato, Fabio orcid:0000-0002-6282-0368 , Bezbradica, Marija orcid:0000-0001-9366-5113 and Helfert, Markus orcid:0000-0001-6546-6408 (2020) Explainable sentiment analysis application for social media crisis management in retail. In: 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: WUDESHI-DR, 5-6 Nov 2020, Budapest, Hungry (Online). ISBN 978-989-758-480-0 (2020) BASE Show details 2 BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis ... Rahman, Md Ataur. - : Mendeley, 2020 BASE Show details 3 BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis ... Rahman, Md Ataur. - : Mendeley, 2020 BASE Show details 4 Phonetic Affect Intensity Multilingual ... Puertas, Edwin; Alvarado-Valencia, Jorge Andrés. - : Zenodo, 2020 BASE Show details 5 Phonetic Affect Intensity Multilingual ... Puertas, Edwin; Alvarado-Valencia, Jorge Andrés. - : Zenodo, 2020 BASE Show details 6 Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin ... Sprugnoli, Rachele; Passarotti, Marco; Corbetta, Daniela. - : Zenodo, 2020 BASE Show details 7 Towards the Modeling of Polarity in a Latin Knowledge Base ... Sprugnoli, Rachele; Mambrini, Francesco; Moretti, Giovanni. - : Zenodo, 2020 BASE Show details 8 Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin ... Sprugnoli, Rachele; Passarotti, Marco; Corbetta, Daniela. - : Zenodo, 2020 BASE Show details 9 Evaluating the Impact of Bilingual Lexical Resources on Cross-lingual Sentiment Projection in the Pharmaceutical Domain ... Hartung, Matthias; Orlikowski, Matthias; Veríssimo, Susana. - : Zenodo, 2020 BASE Show details 10 Towards the Modeling of Polarity in a Latin Knowledge Base ... Sprugnoli, Rachele; Mambrini, Francesco; Moretti, Giovanni. - : Zenodo, 2020 BASE Show details 11 Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin ... Sprugnoli, Rachele; Passarotti, Marco; Corbetta, Daniela. - : Zenodo, 2020 BASE Show details 12 Lexicon of Polarity Shifting Directions ... Schulder, Marc; Wiegand, Michael; Ruppenhofer, Josef. - : Zenodo, 2020 BASE Show details 13 Towards the Modeling of Polarity in a Latin Knowledge Base ... Sprugnoli, Rachele; Mambrini, Francesco; Moretti, Giovanni. - : Zenodo, 2020 BASE Show details 14 Evaluating the Impact of Bilingual Lexical Resources on Cross-lingual Sentiment Projection in the Pharmaceutical Domain ... Hartung, Matthias; Orlikowski, Matthias; Veríssimo, Susana. - : Zenodo, 2020 Abstract: Rolling out text analytics applications or individual components thereof to multiple input languages of interest requires scalable workflows and architectures that do not rely on manual annotation efforts or language-specific re-engineering per target language. These scalability challenges aggravate even further if specialized technical domains are targeted in multiple languages. In recent work, it has been shown that cross-lingual projection of sentiment models in deep learning frameworks based on bilingual sentiment embeddings (BLSE) is feasible without any annotated data in the target language, capitalizing on monolingual embeddings and a bilingual translation dictionary only (Barnes et al., 2018). We use their framework and apply it to multilingual text analytics problems in the pharmaceutical domain in order to (i) investigate under which conditions the BLSE approach scales to technical domains as well, and (ii) assess the impact of different configurations of underlying lexical resources. For the ... Keyword: Cross-lingual Projection; Linguistic Linked Open Data; Multilingual Text Analytics; Pharmaceutical Domain; Sentiment Analysis URL: https://dx.doi.org/10.5281/zenodo.3707939 https://zenodo.org/record/3707939 BASE Hide details 15 Lexicon of Polarity Shifting Directions ... Schulder, Marc; Wiegand, Michael; Ruppenhofer, Josef. - : Zenodo, 2020 BASE Show details 16 Towards the Modeling of Polarity in a Latin Knowledge Base ... Sprugnoli, Rachele; Mambrini, Francesco; Moretti, Giovanni. - : Zenodo, 2020 BASE Show details 17 Bootstrapped Lexicon of English Polarity Shifters ... Schulder, Marc; Wiegand, Michael; Ruppenhofer, Josef. - : Zenodo, 2020 BASE Show details 18 Bootstrapped Lexicon of English Polarity Shifters ... Schulder, Marc; Wiegand, Michael; Ruppenhofer, Josef. - : Zenodo, 2020 BASE Show details 19 Stock Market Tweets Lexicon Data ... Taborda, Bruno. - : Mendeley, 2020 BASE Show details 20 Data for: Deriving the Sentiment Polarity of Term Senses using Unsupervised Context-Aware Gloss Expansion ... Mohd Noah, Shahrul Azman. - : Mendeley, 2020 BASE Show details Page: 1 2

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