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41
Overwhelmed by Negative Emotions? Maybe You Are Being Cyber-bullied!
In: Symposium On Applied Computing ; SAC 2019 - The 34th ACM/SIGAPP Symposium On Applied Computing ; https://hal.archives-ouvertes.fr/hal-02020829 ; SAC 2019 - The 34th ACM/SIGAPP Symposium On Applied Computing, Apr 2019, Limassol, Cyprus. ⟨10.1145/3297280.3297573⟩ (2019)
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42
Linguistic linked data for sentiment analysis
Arcan, Mihael; Sánchez-Rada, Juan Fernando; Strapparava, Carlo. - : Association for Computational Linguistics, 2019
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43
Public Opinion Analysis of the Transportation Policy Using Social Media Data: A Case Study on the Delhi Odd–Even Policy
In: Civil, Construction and Environmental Engineering Publications (2019)
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44
A T1OWA Fuzzy Linguistic Aggregation Methodology for Searching Feature-based Opinions.
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45
The effect of aggregation methods on sentiment classification in Persian reviews
Basiri, Mohammad Ehsan; Kabiri, Arman; Abdar, Moloud. - : Taylor & Francis, 2019
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46
Fake news and propaganda: Trump’s democratic America and Hitler’s national socialist (Nazi) Germany
In: Research outputs 2014 to 2021 (2019)
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47
Twitter Activity Of Urban And Rural Colleges: A Sentiment Analysis Using The Dialogic Loop
In: FIU Electronic Theses and Dissertations (2019)
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48
On the Effect of Word Order on Cross-lingual Sentiment Analysis ; Sobre el efecto del orden de las palabras en el análisis de sentimiento crosslingüe
Atrio, Àlex R.; Badia Cardús, Toni; Barnes, Jeremy. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2019
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49
Stroke Survivors on Twitter : Sentiment and Topic Analysis From a Gender Perspective
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50
Automated Soundtrack Generation for Fiction Books Backed by Lövheim’s Cube Emotional Model
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51
Combining speech-based and linguistic classifiers to recognize emotion in user spoken utterances
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52
Detecting and monitoring hate speech in Twitter
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53
Cross-lingual sentiment analysis for under-resourced languages
Barnes, Jeremy. - : Universitat Pompeu Fabra, 2019
In: TDX (Tesis Doctorals en Xarxa) (2019)
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54
TEXT MINING ON TWITTER DATA TO EVALUATE SENTIMENT
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55
Palavras com polarização positiva e polarização negativa em dois dicionários de língua portuguesa ; Words with positive polarity and negative polarity in two portuguese language dictionaries
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56
A sociolinguistic analysis of emotives
Schweinberger, Martin. - : Springer, 2019
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57
DECO-MWE: Building a Linguistic Resource of Korean Multiword Expressions for Feature-Based Sentiment Analysis
In: 13th Workshop on Asian Language Resources ; https://hal.archives-ouvertes.fr/hal-01795167 ; 13th Workshop on Asian Language Resources, Kiyoaki Shirai, May 2018, Miyazaki, Japan. pp.14-20 ; http://www.jaist.ac.jp/project/alr13/index.html (2018)
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58
An Introduction to a Methodology of Implementing Korean Electronic Dictionaries for Corpus Analysis ; 코퍼스 분석을 위한 한국어 전자 사전 구축 방법론
Nam, Jeesun. - : HAL CCSD, 2018. : Youk-Rack Publishing Company, 2018
In: https://hal.archives-ouvertes.fr/hal-01795289 ; Youk-Rack Publishing Company, 2018, 979-11-6244-146-6 ; http://www.youkrack.co.kr/ (2018)
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59
Transforming big social data into forecasts - methods and technologies ; Transformer les big social data en prévisions - méthodes et technologies : Application à l'analyse de sentiments
El Alaoui, Imane. - : HAL CCSD, 2018
In: https://tel.archives-ouvertes.fr/tel-02060594 ; Ingénierie, finance et science [cs.CE]. Université d'Angers; Université Ibn Tofail. Faculté des sciences de Kénitra, 2018. Français. ⟨NNT : 2018ANGE0011⟩ (2018)
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60
A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter
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