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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 30 1 Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources Vulcu, Gabriela; Buitelaar, Paul; Pereira, Bianca. - : European Language Resources Association, 2019 BASE Show details 2 An exploration of a financial lexicon-based approach to sentiment analysis and its application to financial news and reports Kirchner, Avery N., 1997--. - : Northern Illinois University, 2019 BASE Show details 3 Detecting and Monitoring Hate Speech in Twitter Juan Carlos Pereira-Kohatsu; Lara Quijano-Sánchez; Federico Liberatore... In: Sensors ; Volume 19 ; Issue 21 (2019) BASE Show details 4 JÄMFÖRELSE AV ATTITYDANALYS ALGORITMER FÖR SPELOMDÖMEN ; COMPARISON OF SENTIMENT ANALYSIS ALGORITHMS FOR GAME REVIEWS Gernandt, Niclas; Farhod, Jaser. - : KTH, Hälsoinformatik och logistik, 2019 BASE Show details 5 Computing the Affective-Aesthetic Potential of Literary Texts Arthur M. Jacobs; Annette Kinder In: AI ; Volume 1 ; Issue 1 ; Pages 2-27 (2019) BASE Show details 6 Sentiment Analysis of Lithuanian Texts Using Traditional and Deep Learning Approaches Jurgita Kapočiūtė-Dzikienė; Robertas Damaševičius; Marcin Woźniak In: Computers ; Volume 8 ; Issue 1 (2019) BASE Show details 7 Emotion AI-Driven Sentiment Analysis: A Survey, Future Research Directions, and Open Issues Chakriswaran; Vincent; Srinivasan... In: Applied Sciences ; Volume 9 ; Issue 24 (2019) BASE Show details 8 Semantic Features for Optimizing Supervised Approach of Sentiment Analysis on Product Reviews Bagus Setya Rintyarna; Riyanarto Sarno; Chastine Fatichah In: Computers ; Volume 8 ; Issue 3 (2019) BASE Show details 9 Incorporating Background Checks with Sentiment Analysis to Identify Violence Risky Chinese Microblogs Yun-Fei Jia; Shan Li; Renbiao Wu In: Future Internet ; Volume 11 ; Issue 9 (2019) BASE Show details 10 Comparing Supervised Machine Learning Strategies and Linguistic Features to Search for Very Negative Opinions Sattam Almatarneh; Pablo Gamallo In: Information ; Volume 10 ; Issue 1 (2019) Abstract: In this paper, we examine the performance of several classifiers in the process of searching for very negative opinions. More precisely, we do an empirical study that analyzes the influence of three types of linguistic features (n-grams, word embeddings, and polarity lexicons) and their combinations when they are used to feed different supervised machine learning classifiers: Naive Bayes (NB), Decision Tree (DT), and Support Vector Machine (SVM). The experiments we have carried out show that SVM clearly outperforms NB and DT in all datasets by taking into account all features individually as well as their combinations. Keyword: classification; linguistic features; opinion mining; sentiment analysis; very negative opinions URL: https://doi.org/10.3390/info10010016 BASE Hide details 11 Sentiment Analysis for Social Media Carlos A. Iglesias; Antonio Moreno In: Applied Sciences ; Volume 9 ; Issue 23 (2019) BASE Show details 12 #Globalcitizen: An Explorative Twitter Analysis of Global Identity and Sustainability Communication Marie Merle; Gerhard Reese; Stefan Drews In: Sustainability ; Volume 11 ; Issue 12 (2019) BASE Show details 13 Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany David E. Allen; Michael McAleer In: Sustainability ; Volume 11 ; Issue 19 (2019) BASE Show details 14 SocialTERM-Extractor: Identifying and Predicting Social-Problem-Specific Key Noun Terms from a Large Number of Online News Articles Using Text Mining and Machine Learning Techniques Suh In: Sustainability ; Volume 11 ; Issue 1 (2019) BASE Show details 15 A CNN-BiLSTM Model for Document-Level Sentiment Analysis Maryem Rhanoui; Mounia Mikram; Siham Yousfi... In: Machine Learning and Knowledge Extraction ; Volume 1 ; Issue 3 ; Pages 48-847 (2019) BASE Show details 16 Sentiment Analysis of Twitter Data (saotd) ... Munson, Evan; Smith, Christopher; Boehmke, Bradley. - : Zenodo, 2019 BASE Show details 17 Sentiment Analysis of Twitter Data (saotd) ... Munson, Evan; Smith, Christopher; Boehmke, Bradley. - : Zenodo, 2019 BASE Show details 18 Text mining with word embedding for outlier and sentiment analysis Zhuang, Honglei. - 2019 BASE Show details 19 Semiautomatic dictionary-based tweet classification for measuring well-being Cameletti, M. (orcid:0000-0002-6502-7779); Fabris, S.; Schlosser, S.. - : Università degli studi di Bergamo, 2019. : country:IT, 2019. : place:Bergamo, 2019 BASE Show details 20 Weakly supervised sentiment analysis and opinion extraction Angelidis, Stefanos. - : The University of Edinburgh, 2019 BASE Show details Page: 1 2

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