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Alena Neviarouskaya, H. Prendinger, M. Ishizuka (2009)
Compositionality Principle in Recognition of Fine-Grained Emotions from TextProceedings of the International AAAI Conference on Web and Social Media
S. Rudolph, Eugenie Giesbrecht (2010)
Compositional Matrix-Space Models of Language
Changhou Wang, Fei Wang (2012)
A Bootstrapping Method for Extracting Sentiment Words Using Degree Adverb Patterns2012 International Conference on Computer Science and Service System
Samuel Brody, N. Diakopoulos (2011)
Cooooooooooooooollllllllllllll!!!!!!!!!!!!!! Using Word Lengthening to Detect Sentiment in Microblogs
Rada Mihalcea, Carmen Banea, J. Wiebe (2007)
Learning Multilingual Subjective Language via Cross-Lingual Projections
Maria Pontiki, Dimitris Galanis, John Pavlopoulos, Haris Papageorgiou, Ion Androutsopoulos, S. Manandhar (2014)
SemEval-2014 Task 4: Aspect Based Sentiment Analysis
Li Dong, Furu Wei, M. Zhou, Ke Xu (2014)
Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis
Saif Mohammad, S. Kiritchenko, Parinaz Sobhani, Xiao-Dan Zhu, Colin Cherry (2016)
SemEval-2016 Task 6: Detecting Stance in Tweets
Weiyuan Li, Hua Xu (2014)
Text-based emotion classification using emotion cause extractionExpert Syst. Appl., 41
Roger Bougie, R. Pieters, M. Zeelenberg (2003)
Angry customers don't come back, they get back: The experience and behavioral implications of anger and dissatisfaction in servicesJournal of the Academy of Marketing Science, 31
Hannah Davis, Saif Mohammad (2014)
Generating Music from Literature
Saima Aman, S. Szpakowicz (2007)
Identifying Expressions of Emotion in Text
C. Strapparava, Rada Mihalcea (2007)
SemEval-2007 Task 14: Affective Text
Xu Zhe, A. Boucouvalas (2002)
Text-to-Emotion Engine for Real Time Internet Communication
E. Cambria, Soujanya Poria, Rajiv Bajpai, Björn Schuller (2016)
SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives
V. Nahar, Sayan Unankard, Xue Li, C. Pang (2012)
Sentiment Analysis for Effective Detection of Cyber Bullying
(1991)
Best-worst scaling: A model for the largest difference judgments
Sara Rosenthal, Preslav Nakov, S. Kiritchenko, Saif Mohammad, Alan Ritter, Veselin Stoyanov (2015)
SemEval-2015 Task 10: Sentiment Analysis in TwitterArXiv, abs/1912.02387
D. John, A. Boucouvalas, Zhe Xu (2006)
Representing Emotional Momentum within Expressive Internet Communication
Ashequl Qadir (2009)
Detecting Opinion Sentences Specific to Product Features in Customer Reviews using Typed Dependency Relations
Andrea Esuli, F. Sebastiani (2006)
SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining
J. Eichstaedt, H. Schwartz, Margaret Kern, Gregory Park, D. Labarthe, R. Merchant, Sneha Jha, Megha Agrawal, Lukasz Dziurzynski, Maarten Sap, Christopher Weeg, E. Larson, L. Ungar, M. Seligman (2015)
Psychological Language on Twitter Predicts County-Level Heart Disease MortalityPsychological Science, 26
K. Hasan, Vincent Ng (2013)
Stance Classification of Ideological Debates: Data, Models, Features, and Constraints
Ryoko Tokhisa, Kentaro Inui, Yuji Matsumoto (2008)
Emotion Classification Using Massive Examples Extracted from the Web
M. Généreux, R. Evans (2006)
Distinguishing affective states in weblogs
Eric Nalisnick, H. Baird (2013)
Character-to-Character Sentiment Analysis in Shakespeare’s Plays
M. Walker, J. Tree, P. Anand, Rob Abbott, Joseph King (2012)
A Corpus for Research on Deliberation and Debate
Bin Lu, Benjamin T'sou (2010)
CityU-DAC: Disambiguating Sentiment-Ambiguous Adjectives within Context
Changli Zhang, D. Zeng, Qingyang Xu, Xueling Xin, W. Mao, Fei-Yue Wang (2008)
Polarity Classification of Public Health Opinions in Chinese
Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, Manfred Stede (2011)
Lexicon-Based Methods for Sentiment AnalysisComputational Linguistics, 37
Matt Thomas, B. Pang, Lillian Lee (2006)
Get out the vote: Determining support or opposition from Congressional floor-debate transcriptsArXiv, abs/cs/0607062
David Jurgens, Saif Mohammad, Peter Turney, K. Holyoak (2012)
SemEval-2012 Task 2: Measuring Degrees of Relational Similarity
Chunling Ma, H. Prendinger, M. Ishizuka (2005)
Emotion Estimation and Reasoning Based on Affective Textual Interaction
J. Velásquez (1997)
Modeling Emotions and Other Motivations in Synthetic Agents
P. Stone, D. Ogilvie (1967)
Extracting Information. (Book Reviews: The General Inquirer. A Computer Approach to Content Analysis)Science
Jason Kessler, Nicolas Nicolov (2009)
Targeting Sentiment Expressions through Supervised Ranking of Linguistic ConfigurationsProceedings of the International AAAI Conference on Web and Social Media
Lei Zhang, Bing Liu, Suk Lim, Eamonn O'Brien-Strain (2010)
Extracting and Ranking Product Features in Opinion Documents
R. Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher Manning, A. Ng, Christopher Potts (2013)
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Lei Zhang, B. Liu (2011)
Identifying Noun Product Features that Imply Opinions
D. Gildea, Dan Jurafsky (2000)
Automatic Labeling of Semantic Roles
Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom (2014)
A Convolutional Neural Network for Modelling Sentences
Minqing Hu, Bing Liu (2004)
Mining and summarizing customer reviewsProceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Ahmed Awadallah, Amjad Abu-Jbara, Dragomir Radev (2012)
Extracting Signed Social Networks from Text
R. Socher, Brody Huval, Christopher Manning, A. Ng (2012)
Semantic Compositionality through Recursive Matrix-Vector Spaces
Edward Grefenstette, Georgiana Dinu, Yao-zhong Zhang, M. Sadrzadeh, Marco Baroni (2013)
Multi-Step Regression Learning for Compositional Distributional Semantics
Ruifeng Xu, Kam-Fai Wong, Q. Lu, Yunqing Xia, Wenjie Li (2008)
Learning Knowledge from Relevant Webpage for Opinion Analysis2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 1
Saif Mohammad, Xiao-Dan Zhu, S. Kiritchenko, Joel Martin (2015)
Sentiment, emotion, purpose, and style in electoral tweetsInf. Process. Manag., 51
Mohammad Salameh, Saif Mohammad, S. Kiritchenko (2015)
Sentiment after Translation: A Case-Study on Arabic Social Media Posts
Roberto González-Ibáñez, S. Muresan, N. Wacholder (2011)
Identifying Sarcasm in Twitter: A Closer Look
B. Orme (2009)
MaxDiff Analysis : Simple Counting , Individual-Level Logit , and HB
H. Schwartz, J. Eichstaedt, Margaret Kern, Lukasz Dziurzynski, Richard Lucas, Megha Agrawal, Gregory Park, S. Lakshmikanth, Sneha Jha, M. Seligman, L. Ungar (2013)
Characterizing Geographic Variation in Well-Being Using TweetsProceedings of the International AAAI Conference on Web and Social Media
Swapna Somasundaran, J. Wiebe (2009)
Recognizing Stances in Online Debates
Veselin Stoyanov, Claire Cardie (2006)
Toward Opinion Summarization: Linking the SourcesProceedings of the Workshop on Sentiment and Subjectivity in Text - SST '06
Edward Grefenstette, M. Sadrzadeh (2011)
Experimental Support for a Categorical Compositional Distributional Model of Meaning
Saif Mohammad (2016)
A Practical Guide to Sentiment Annotation: Challenges and Solutions
Saif Mohammad, Parinaz Sobhani, S. Kiritchenko (2016)
Stance and Sentiment in TweetsACM Transactions on Internet Technology (TOIT), 17
Xiaojun Wan (2008)
Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment Analysis
Aliaksei Severyn, Alessandro Moschitti (2015)
UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification
C. Aggarwal (2018)
Opinion Mining and Sentiment Analysis
P. Anand, M. Walker, Rob Abbott, J. Tree, Robeson Bowmani, Michael Minor (2011)
Cats Rule and Dogs Drool!: Classifying Stance in Online Debate
Elena Lloret, A. Balahur, M. Palomar, A. Montoyo (2009)
Towards Building a Competitive Opinion Summarization System: Challenges and Keys
Ge Xu, Chu-Ren Huang, Houfeng Wang (2012)
Extracting Chinese Product Features: Representing a Sequence by a Set of Skip-Bigrams
Diego Marcheggiani, Michael Roth, Ivan Titov, Benjamin Durme (2010)
Semantic Role Labeling
Diana Inkpen, C. Strapparava (2010)
Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Paula Carvalho, L. Sarmento, Mário Silva, E. Oliveira (2009)
Clues for detecting irony in user-generated contents: oh...!! it's "so easy" ;-)
Lars Holzman, W. Pottenger (2003)
Classification of Emotions in Internet Chat: An Application of Machine Learning Using Speech Phonemes
Saif Mohammad (2012)
#Emotional Tweets
V. Hatzivassiloglou, K. McKeown (1997)
Predicting the Semantic Orientation of Adjectives
Xiao-Dan Zhu, Hongyu Guo, Saif Mohammad, S. Kiritchenko (2014)
An Empirical Study on the Effect of Negation Words on Sentiment
S. Kiritchenko, Saif Mohammad (2016)
Sentiment Composition of Words with Opposing PolaritiesArXiv, abs/1805.04542
Ainur Yessenalina, Claire Cardie (2011)
Compositional Matrix-Space Models for Sentiment Analysis
A. Bakliwal, Piyush Arora, Senthil Madhappan, Nikhil Kapre, Mukesh Singh, Vasudeva Varma (2012)
Mining Sentiments from Tweets
Dhanya Sridhar, L. Getoor, M. Walker (2014)
Collective Stance Classification of Posts in Online Debate Forums
S. Kiritchenko, Xiao-Dan Zhu, Colin Cherry, Saif Mohammad (2014)
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
N. Ravaja, T. Saari, M. Turpeinen, J. Laarni, M. Salminen, Matias Kivikangas (2006)
Spatial Presence and Emotions during Video Game Playing: Does It Matter with Whom You Play?PRESENCE: Teleoperators and Virtual Environments, 15
Antonio Reyes, Paolo Rosso, T. Veale (2013)
A multidimensional approach for detecting irony in TwitterLanguage Resources and Evaluation, 47
Saif Mohammad, S. Kiritchenko, Xiao-Dan Zhu (2013)
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
Maite Taboada, Kimberly Voll, Julian Brooke (2008)
Extracting sentiment as a function of discourse structure and topicality
F. Aisopos, G. Papadakis, K. Tserpes, T. Varvarigou (2012)
Textual and contextual patterns for sentiment analysis over microblogsProceedings of the 21st International Conference on World Wide Web
G. Somprasertsri, P. Lalitrojwong (2010)
Mining Feature-Opinion in Online Customer Reviews for Opinion SummarizationJ. Univers. Comput. Sci., 16
S. Kiritchenko, Saif Mohammad, Mohammad Salameh (2016)
SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases
Brendan O'Connor, Ramnath Balasubramanyan, Bryan Routledge, Noah Smith (2010)
From Tweets to Polls: Linking Text Sentiment to Public Opinion Time SeriesProceedings of the International AAAI Conference on Web and Social Media
A. Pak, P. Paroubek (2010)
Twitter as a Corpus for Sentiment Analysis and Opinion Mining
Saif Mohammad, Tony Yang (2011)
Tracking Sentiment in Mail: How Genders Differ on Emotional Axes
Lun-Wei Ku, Yu-Ting Liang, Hsin-Hsi Chen (2006)
Opinion Extraction, Summarization and Tracking in News and Blog Corpora
P. Stone, D. Dunphy, Marshall Smith (1967)
The general inquirer: A computer approach to content analysis.American Educational Research Journal, 4
Jingjing Liu, Yunbo Cao, Chin-Yew Lin, Yalou Huang, M. Zhou (2007)
Low-Quality Product Review Detection in Opinion Summarization
Tomas Mikolov, Ilya Sutskever, Kai Chen, G. Corrado, J. Dean (2013)
Distributed Representations of Words and Phrases and their Compositionality
S. Kiritchenko, Saif Mohammad (2016)
The Effect of Negators, Modals, and Degree Adverbs on Sentiment CompositionArXiv, abs/1712.01794
S. Kiritchenko, Saif Mohammad (2016)
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling
Yejin Choi, Claire Cardie (2008)
Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis
J. Bollen, Huina Mao, Xiao-Jun Zeng (2010)
Twitter mood predicts the stock marketArXiv, abs/1010.3003
Lluís Villodre, X. Carreras, K. Litkowski, S. Stevenson (2008)
Semantic Role Labeling: An Introduction to the Special IssueComputational Linguistics, 34
Ana-Maria Popescu, Oren Etzioni (2005)
Extracting Product Features and Opinions from Reviews
Saif Mohammad (2012)
Portable Features for Classifying Emotional Text
M. Thelwall, K. Buckley, G. Paltoglou (2011)
Sentiment in Twitter eventsJ. Assoc. Inf. Sci. Technol., 62
Saif Mohammad, Peter Turney (2010)
Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon
Jeff Mitchell, Mirella Lapata (2010)
Composition in Distributional Models of SemanticsCognitive science, 34 8
T. Veale, Yanfen Hao (2010)
Detecting Ironic Intent in Creative Comparisons
Theresa Wilson, J. Wiebe, Paul Hoffmann (2005)
Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
S. Kiritchenko, Xiao-Dan Zhu, Saif Mohammad (2014)
Sentiment Analysis of Short Informal TextsJ. Artif. Intell. Res., 50
Saif Mohammad, Peter Turney (2013)
CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICONComputational Intelligence, 29
Lingjia Deng, J. Wiebe (2014)
Sentiment Propagation via Implicature Constraints
Collin Baker, C. Fillmore, John Lowe (1998)
The Berkeley FrameNet Project
D. Ghazi, D. Inkpen, Stan Szpakowicz (2015)
Detecting Emotion Stimuli in Emotion-Bearing Sentences
Peter Turney, M. Littman (2003)
Measuring praise and criticism: Inference of semantic orientation from associationArXiv, cs.CL/0309034
Rada Mihalcea, Hugo Liu (2006)
A Corpus-based Approach to Finding Happiness
Eric Nalisnick, H. Baird (2013)
Extracting Sentiment Networks from Shakespeare's Plays2013 12th International Conference on Document Analysis and Recognition
A. Boucouvalas (2003)
Real Time Text-to-Emotion Engine for Expressive Internet Communications
Qi Su, Kun Xiang, Houfeng Wang, Bin-yuan Sun, Shiwen Yu (2006)
Using Pointwise Mutual Information to Identify Implicit Features in Customer Reviews
Akiko Murakami, Raymond Putra (2010)
Support or Oppose? Classifying Positions in Online Debates from Reply Activities and Opinion Expressions
J. Bellegarda (2010)
Emotion Analysis Using Latent Affective Folding and Embedding
B. Liu, Lei Zhang (2012)
A Survey of Opinion Mining and Sentiment Analysis
Alistair Kennedy, D. Inkpen (2005)
Sentiment Classification of Movie and Product Reviews Using Contextual Valence Shifters
Apoorv Agarwal, Boyi Xie, Ilia Vovsha, Owen Rambow, R. Passonneau (2011)
Sentiment Analysis of Twitter Data
Peter Turney (2014)
Semantic Composition and Decomposition: From Recognition to GenerationArXiv, abs/1405.7908
J. Russell (1980)
A circumplex model of affect.Journal of Personality and Social Psychology, 39
Elena Filatova (2012)
Irony and Sarcasm: Corpus Generation and Analysis Using Crowdsourcing
Preslav Nakov, Alan Ritter, Sara Rosenthal, F. Sebastiani, Veselin Stoyanov (2014)
SemEval-2014 Task 9: Sentiment Analysis in Twitter
A. Balahur, M. Turchi (2014)
Comparative experiments using supervised learning and machine translation for multilingual sentiment analysisComput. Speech Lang., 28
Guido Zarrella, A. Marsh (2016)
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection
E. Cambria, Daniel Olsher, Dheeraj Rajagopal (2014)
SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis
Marco Baroni, Roberto Zamparelli (2010)
Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space
S. Colton, J. Goodwin, T. Veale (2012)
Full-FACE Poetry Generation
[A vast majority of the work in Sentiment Analysis has been on developing more accurate sentiment classifiers, usually involving supervised machine learning algorithms and a battery of features. Surveys by Pang and Lee (Found Trends Inf Retr 2(12):1135, 2008), Liu and Zhang (A survey of opinion mining and sentiment analysis. In: Aggarwal CC, Zhai C (eds) In: Mining text data. Springer, New York, pp 415463, 2012), and Mohammad (Mohammad Sentiment analysis: detecting valence, emotions, and other effectual states from text. In: Meiselman H (ed) Emotion measurement. Elsevier, Amsterdam, 2016b) give summaries of the many automatic classifiers, features, and datasets used to detect sentiment. In this chapter, we flesh out some of the challenges that still remain, questions that have not been explored sufficiently, and new issues emerging from taking on new sentiment analysis problems. We also discuss proposals to deal with these challenges. The goal of this chapter is to equip researchers and practitioners with pointers to the latest developments in sentiment analysis and encourage more work in the diverse landscape of problems, especially those areas that are relatively less explored.]
Published: Apr 12, 2017
Keywords: Sentiment analysis tasks; Sentiment of the writer, reader, and other entities; Sentiment towards aspects of an entity; Stance detection; Sentiment lexicons; Sentiment annotation; Multilingual sentiment analysis
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