Fetching the paper…
Reading the bibliography…
In this paper, through multi-task ensemble framework we address three problems of emotion and sentiment analysis i.e.
Bagging predictors
Leo Breiman. 1996 · 1996
Earlier work this paper cites.
Experiments with a new boosting algorithm
Yoav Freund and Robert E. Schapire. 1996 · 1996
Earlier work this paper cites.
Multitask Learning
Rich Caruana. 1997 · 1997
Earlier work this paper cites.
Affective Computing
Rosalind W. Picard. 1997 · 1997
Earlier work this paper cites.
On combining classifiers
Josef Kittler, Mohamad Hatef, Robert P. W. Duin, and Jiri Matas. 1998 · 1998
Earlier work this paper cites.
Basic Emotions
Paul Ekman. 1999 · 1999
Earlier work this paper cites.
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
Bo Pang, , and Lillian Lee. 2005 · 2005
Earlier work this paper cites.
Word sense and subjectivity
Janyce Wiebe and Rada Mihalcea. 2006 · 2006
Earlier work this paper cites.
SemEval-2007 Task 14: Affective Text
Carlo Strapparava and Rada Mihalcea. 2007 · 2007
Earlier work this paper cites.
A unified architecture for natural language processing: Deep neural networks with multitask learning
Ronan Collobert and Jason Weston. 2008 · 2008
Earlier work this paper cites.
A holistic lexicon-based approach to opinion mining
Xiaowen Ding, Bing Liu, and Philip S Yu. 2008 · 2008
Earlier work this paper cites.
Take two aspirin and tweet me in the morning: how twitter, facebook, and other social media are reshaping health care
Carleen Hawn. 2009 · 2009
Earlier work this paper cites.
Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining
Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani. 2010 · 2010
Earlier work this paper cites.
Twitter mood predicts the stock market
Johan Bollen, Huina Mao, and Xiaojun Zeng. 2011 · 2011
Earlier work this paper cites.
Weighted Vote-Based Classifier Ensemble for Named Entity Recognition: A Genetic Algorithm-Based Approach
Asif Ekbal and Sriparna Saha. 2011 · 2011
Earlier work this paper cites.
Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011 · 2011
Cited alongside, same era.
Sentiment Intensity: Is It a Good Summary Indicator?
Mijail Kabadjov, Alexandra Balahur, and Ester Boldrini. 2011 · 2011
Cited alongside, same era.
Safety information mining—what can nlp do in a disaster—
Graham Neubig, Yuichiroh Matsubayashi, Masato Hagiwara, and Koji Murakami. 2011 · 2011
Cited alongside, same era.
A new ANEW: Evaluation of a word list for sentiment analysis in microblogs
Finn Årup Nielsen. 2011 · 2011
Cited alongside, same era.
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov. 2012 · 2012
Cited alongside, same era.
Using hashtags to capture fine emotion categories from tweets
Saif M Mohammad and Svetlana Kiritchenko. 2015 · 2015
Later among the works it cites.
Determining word–emotion associations from tweets by multi-label classification
Felipe Bravo-Marquez, Eibe Frank, Saif M Mohammad, and Bernhard Pfahringer. 2016 · 2016
Later among the works it cites.
Semeval-2016 task 7: Determining sentiment intensity of english and arabic phrases
Svetlana Kiritchenko, Saif Mohammad, and Mohammad Salameh. 2016 · 2016
Later among the works it cites.
Modelling Valence and Arousal in Facebook posts
Daniel Preoţiuc-Pietro, H. Andrew Schwartz, Gregory Park, Johannes Eichstaedt, Margaret Kern, Lyle Ungar, and Elisabeth Shulman. 2016 · 2016
Later among the works it cites.
Deep multi-task learning with low level tasks supervised at lower layers
Anders Søgaard and Yoav Goldberg. 2016 · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A high-order hidden markov model for emotion detection from textual data
Dung T. Ho and Tru H. Cao. 2012 · 2012
Cited alongside, same era.
Nrc-canada: Building the state-of-the-art in sentiment analysis of tweets
Saif Mohammad, Svetlana Kiritchenko, and Xiaodan Zhu. 2013 · 2013
Cited alongside, same era.
Crowdsourcing a Word-Emotion Association Lexicon
Saif M. Mohammad and Peter D. Turney. 2013 · 2013
Cited alongside, same era.
Bagging and boosting statistical machine translation systems
Tong Xiao, Jingbo Zhu, and Tongran Liu. 2013 · 2013
Cited alongside, same era.
Vader: A parsimonious rule-based model for sentiment analysis of social media text
CJ Hutto Eric Gilbert. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Are they different? affect, feeling, emotion, sentiment, and opinion detection in text
Myriam D Munezero, Calkin Suero Montero, Erkki Sutinen, and John Pajunen. 2014 · 2014
Cited alongside, same era.
Md Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal, and Pushpak Bhattacharyya. 2017b · 2017
Later among the works it cites.
Iitp at emoint-2017: Measuring intensity of emotions using sentence embeddings and optimized features
Md Shad Akhtar, Palaash Sawant, Asif Ekbal, Jyoti Pawar, and Pushpak Bhattacharyya. 2017c · 2017
Later among the works it cites.
Multitask Learning for Fine-Grained Twitter Sentiment Analysis
Georgios Balikas, Simon Moura, and Massih-Reza Amini. 2017 · 2017
Later among the works it cites.
EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis
Sven Buechel and Udo Hahn. 2017 · 2017
Later among the works it cites.
Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets
Prayas Jain, Pranav Goel, Devang Kulshreshtha, and Kaushal Kumar Shukla. 2017 · 2017
Later among the works it cites.
IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning
Maximilian Köper, Evgeny Kim, and Roman Klinger. 2017 · 2017
Later among the works it cites.
Wassa-2017 shared task on emotion intensity
Saif Mohammad and Felipe Bravo-Marquez. 2017 · 2017
Later among the works it cites.
Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings
Raksha Sharma, Arpan Somani, Lakshya Kumar, and Pushpak Bhattacharyya. 2017 · 2017
Later among the works it cites.
A multi-task learning framework for emotion recognition using 2d continuous space
R. Xia and Y. Liu. 2017 · 2017
Later among the works it cites.