Awais, Dr. Muhammad & Dr. Muhammad Shoaib
2019.
Role of Discourse Information in Urdu Sentiment Classification.
ACM Transactions on Asian and Low-Resource Language Information Processing 18:4
► pp. 1 ff.
Benamara, Farah, Maite Taboada & Yannick Mathieu
2017.
Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational Applications.
Computational Linguistics 43:1
► pp. 201 ff.
Carrillo‐de‐Albornoz, Jorge & Laura Plaza
2013.
An emotion‐based model of negation, intensifiers, and modality for polarity and intensity classification.
Journal of the American Society for Information Science and Technology 64:8
► pp. 1618 ff.
Che, Siqi, Wenzhong Zhu & Xuepei Li
2020.
Anticipating Corporate Financial Performance from CEO Letters Utilizing Sentiment Analysis.
Mathematical Problems in Engineering 2020
► pp. 1 ff.
Cislaru, Georgeta
2015.
Emotions in tweets: From instantaneity to preconstruction.
Social Science Information 54:4
► pp. 455 ff.
Daradoumis, Thanasis, Marta Arguedas & Fatos Xhafa
2013.
2013 5th International Conference on Intelligent Networking and Collaborative Systems,
► pp. 281 ff.
Daradoumis, Thanasis & Marta María Arguedas Lafuente
2014.
Studying the Suitability of Discourse Analysis Methods for Emotion Detection and Interpretation in Computer-Mediated Educational Discourse. In
Innovative Methods and Technologies for Electronic Discourse Analysis [
Advances in Human and Social Aspects of Technology, ],
► pp. 119 ff.
Daradoumis, Thanasis & Marta María Arguedas Lafuente
2016.
Studying the Suitability of Discourse Analysis Methods for Emotion Detection and Interpretation in Computer-Mediated Educational Discourse. In
Psychology and Mental Health,
► pp. 1774 ff.
Gao, Qingyu & Dezheng (William) Feng
2023.
Alignment and antagonism in flux: A diachronic sentiment analysis of attitudes towards the Chinese mainland in the Hong Kong press.
Journalism
Hoogervorst, Rowan, Erik Essink, Wouter Jansen, Max van den Helder, Kim Schouten, Flavius Frasincar & Maite Taboada
2016.
Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory. In
Web Engineering [
Lecture Notes in Computer Science, 9671],
► pp. 317 ff.
Jha, Ashish Kumar & Snehal Shah
2019.
Social Influence on Future Review Sentiments: An Appraisal-Theoretic View.
Journal of Management Information Systems 36:2
► pp. 610 ff.
Johansson, Richard & Alessandro Moschitti
2013.
Relational Features in Fine-Grained Opinion Analysis.
Computational Linguistics 39:3
► pp. 473 ff.
Khan, Ali Haider, Muhammad Haroon, Osama Altaf, Shahid Mehmood Awan & Aamna Asghar
2020.
Sentimental Content Analysis and Prediction of Text. In
Intelligent Technologies and Applications [
Communications in Computer and Information Science, 1198],
► pp. 287 ff.
Legallois, Dominique & Véronique Lenepveu
2014.
L'évaluation dans les textes : des relations inter-propositionnelles aux séquences discursives.
Langue française n° 184:4
► pp. 17 ff.
Mirzaaghabeyk, Mitra
2022.
Attitude System Realization of News Texts in Light of Appraisal Theory.
Journal of Contemporary Language Research 1:1
► pp. 1 ff.
Mullick, Ankan, Anindya Bhandari, Abhishek Niranjan, Nitesh Sckhar, Shrey Garg, Riya Bubna & Mayank Roy
2018.
2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON),
► pp. 302 ff.
Mullick, Ankan, Pawan Goyal, Niloy Ganguly & Manish Gupta
2018.
Harnessing Twitter for Answering Opinion List Queries.
IEEE Transactions on Computational Social Systems 5:4
► pp. 1083 ff.
Mullick, Ankan, Shivam Maheshwari, Soumya C., Pawan Goyal & Niloy Ganguly
2017.
Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion,
► pp. 827 ff.
Negi, S. & P. Buitelaar
2017.
Suggestion Mining From Opinionated Text. In
Sentiment Analysis in Social Networks,
► pp. 129 ff.
Poria, Soujanya, Erik Cambria, Rajiv Bajpai & Amir Hussain
2017.
A review of affective computing: From unimodal analysis to multimodal fusion.
Information Fusion 37
► pp. 98 ff.
Poria, Soujanya, Amir Hussain & Erik Cambria
2018.
Literature Survey and Datasets. In
Multimodal Sentiment Analysis [
Socio-Affective Computing, 8],
► pp. 37 ff.
Sleem-Amer, Mona, Ivan Bigorgne, Stéphanie Brizard, Leeley Daio Pires Dos Santos, Yacine El Bouhairi, Bénédicte Goujon, Stéphane Lorin, Claude Martineau, Loïs Rigouste & Lidia Varga
2012.
Intelligent Semantic Search Engines for Opinion and Sentiment Mining. In
Next Generation Search Engines,
► pp. 191 ff.
Soo‐Guan Khoo, Christopher, Armineh Nourbakhsh & Jin‐Cheon Na
2012.
Sentiment analysis of online news text: a case study of appraisal theory.
Online Information Review 36:6
► pp. 858 ff.
Souza, Marlo & Renata Vieira
2012.
Sentiment Analysis on Twitter Data for Portuguese Language. In
Computational Processing of the Portuguese Language [
Lecture Notes in Computer Science, 7243],
► pp. 241 ff.
Taboada, Maite, Julian Brooke, Milan Tofiloski, Kimberly Voll & Manfred Stede
2011.
Lexicon-Based Methods for Sentiment Analysis.
Computational Linguistics 37:2
► pp. 267 ff.
Talib, Nadira & Richard Fitzgerald
2015.
INEQUALITY AS MERITOCRACY.
Critical Discourse Studies 12:4
► pp. 445 ff.
Touati, Imen, Marwa Graja, Mariem Ellouze & Lamia Hadrich Belguith
2016.
Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence,
► pp. 131 ff.
Touati, Imen, Marwa Graja, Mariem Ellouze & Lamia Hadrich Belguith
2017.
Arabic Fine-Grained Opinion Categorization Using Discriminative Machine Learning Technique. In
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 [
Advances in Intelligent Systems and Computing, 533],
► pp. 104 ff.
Trnavac, Radoslava, Debopam Das & Maite Taboada
2016.
Discourse relations and evaluation.
Corpora 11:2
► pp. 169 ff.
Trnavac, Radoslava & Maite Taboada
2012.
The contribution of nonveridical rhetorical relations to evaluation in discourse.
Language Sciences 34:3
► pp. 301 ff.
Xi Chen & Jaehoon Yeon
2015.
A linguistic analysis of lying in negative evaluations: The speech act performance of Chinese learners of Korean.
Journal of Korean Language Education 26:null
► pp. 55 ff.
[no author supplied]
2019.
References. In
Automatic Detection of Irony,
► pp. 169 ff.
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