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SemEval-2018 Task 1: Affect in Tweets
Saif Mohammad
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Felipe Bravo-Marquez
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Mohammad Salameh
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Svetlana Kiritchenko
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Paper Details:
Month: June
Year: 2018
Location: New Orleans, Louisiana
Venue:
*SEMEVAL |
Citations
URL
Word Affect Intensities
Saif Mohammad
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Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories
Saif Mohammad
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Svetlana Kiritchenko
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WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art
Saif Mohammad
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Svetlana Kiritchenko
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Quantifying Qualitative Data for Understanding Controversial Issues
Michael Wojatzki
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Saif Mohammad
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Torsten Zesch
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Svetlana Kiritchenko
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Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words
Saif Mohammad
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SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets
Venkatesh Duppada
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Royal Jain
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Sushant Hiray
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NEUROSENT-PDI at SemEval-2018 Task 1: Leveraging a Multi-Domain Sentiment Model for Inferring Polarity in Micro-blog Text
Mauro Dragoni
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FOI DSS at SemEval-2018 Task 1: Combining LSTM States, Embeddings, and Lexical Features for Affect Analysis
Maja Karasalo
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Mattias Nilsson
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Magnus Rosell
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Ulrika Wickenberg Bolin
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NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination
Zhengxin Zhang
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Qimin Zhou
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Hao Wu
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LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets
Luna De Bruyne
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Orphée De Clercq
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Véronique Hoste
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UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets
Pavel Přibáň
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Tomáš Hercig
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Ladislav Lenc
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AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification
Yanghoon Kim
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Hwanhee Lee
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Kyomin Jung
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INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis
Mario Graff
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Sabino Miranda-Jiménez
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Eric S. Tellez
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Daniela Moctezuma
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Epita at SemEval-2018 Task 1: Sentiment Analysis Using Transfer Learning Approach
Guillaume Daval-Frerot
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Abdesselam Bouchekif
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Anatole Moreau
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KDE-AFFECT at SemEval-2018 Task 1: Estimation of Affects in Tweet by Using Convolutional Neural Network for n-gram
Masaki Aono
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Shinnosuke Himeno
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RNN for Affects at SemEval-2018 Task 1: Formulating Affect Identification as a Binary Classification Problem
Aysu Ezen-Can
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Ethem F. Can
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Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification
Hala Mulki
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Chedi Bechikh Ali
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Hatem Haddad
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Ismail Babaoğlu
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DL Team at SemEval-2018 Task 1: Tweet Affect Detection using Sentiment Lexicons and Embeddings
Dmitry Kravchenko
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Lidia Pivovarova
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EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in #Tweets
Ramona-Andreea Turcu
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Sandra Maria Amarandei
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Iuliana-Alexandra Flescan-Lovin-Arseni
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Daniela Gifu
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Diana Trandabat
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THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM
Chuhan Wu
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Fangzhao Wu
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Junxin Liu
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Zhigang Yuan
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Sixing Wu
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Yongfeng Huang
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CENTEMENT at SemEval-2018 Task 1: Classification of Tweets using Multiple Thresholds with Self-correction and Weighted Conditional Probabilities
Tariq Ahmad
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Allan Ramsay
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Hanady Ahmed
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AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets
Mostafa Abdou
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Artur Kulmizev
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Joan Ginés i Ametllé
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Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification
Alon Rozental
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Daniel Fleischer
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deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets
Zi-Yuan Gao
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Chia-Ping Chen
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ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models
Huimin Xu
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Man Lan
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Yuanbin Wu
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EMA at SemEval-2018 Task 1: Emotion Mining for Arabic
Gilbert Badaro
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Obeida El Jundi
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Alaa Khaddaj
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Alaa Maarouf
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Raslan Kain
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Hazem Hajj
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Wassim El-Hajj
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NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning
Christos Baziotis
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Athanasiou Nikolaos
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Alexandra Chronopoulou
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Athanasia Kolovou
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Georgios Paraskevopoulos
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Nikolaos Ellinas
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Shrikanth Narayanan
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Alexandros Potamianos
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PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags
Ji Ho Park
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Peng Xu
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Pascale Fung
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UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish
Marloes Kuijper
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Mike van Lenthe
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Rik van Noord
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ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets
Meng Li
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Zhenyuan Dong
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Zhihao Fan
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Kongming Meng
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Jinghua Cao
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Guanqi Ding
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Yuhan Liu
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Jiawei Shan
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Binyang Li
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TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture
Hardik Meisheri
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Lipika Dey
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DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning
Habibeh Naderi
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Behrouz Haji Soleimani
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Saif Mohammad
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Svetlana Kiritchenko
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Stan Matwin
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Zewen at SemEval-2018 Task 1: An Ensemble Model for Affect Prediction in Tweets
Zewen Chi
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Heyan Huang
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Jiangui Chen
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Hao Wu
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Ran Wei
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Amrita_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets
Nidhin A Unnithan
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Shalini K.
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Barathi Ganesh H. B.
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Anand Kumar M
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Soman K. P.
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CENNLP at SemEval-2018 Task 1: Constrained Vector Space Model in Affects in Tweets
Naveen J R
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Barathi Ganesh H. B.
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Anand Kumar M
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Soman K P
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IIT Delhi at SemEval-2018 Task 1 : Emotion Intensity Prediction
Bhaskar Kotakonda
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Prashanth Gowda
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Brejesh Lall
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Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection
Pan Du
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Jian-Yun Nie
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TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning
Malak Abdullah
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Samira Shaikh
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RIDDL at SemEval-2018 Task 1: Rage Intensity Detection with Deep Learning
Venkatesh Elango
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Karan Uppal
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ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets
El Moatez Billah Nagoudi
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psyML at SemEval-2018 Task 1: Transfer Learning for Sentiment and Emotion Analysis
Grace Gee
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Eugene Wang
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UIUC at SemEval-2018 Task 1: Recognizing Affect with Ensemble Models
Abhishek Avinash Narwekar
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Roxana Girju
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KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets
Thomas Nyegaard-Signori
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Casper Veistrup Helms
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Johannes Bjerva
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Isabelle Augenstein
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ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets
José-Ángel González
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Lluís-F. Hurtado
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Ferran Pla
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Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Svetlana Kiritchenko
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Saif Mohammad
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Deep contextualized word representations for detecting sarcasm and irony
Suzana Ilić
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Edison Marrese-Taylor
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Jorge Balazs
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Yutaka Matsuo
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IEST: WASSA-2018 Implicit Emotions Shared Task
Roman Klinger
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Orphée De Clercq
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Saif Mohammad
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Alexandra Balahur
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UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis
Gustavo Paetzold
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NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing
Samuel Pecar
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Michal Farkas
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Marian Simko
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Peter Lacko
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Maria Bielikova
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UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network
Pavel Přibáň
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Jiří Martínek
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Learning representations for sentiment classification using Multi-task framework
Hardik Meisheri
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Harshad Khadilkar
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https://competitions.codalab.org/competitions/17751
http://saifmohammad.com/WebPages/EmoInt2017.html
http://www.wordreference.com/sinonimos/
https://www.figure-eight.com
http://saifmohammad.com/WebPages/BestWorst.html
https://affectivetweets.cms.waikato.ac.nz/
http://saifmohammad.com/WebPages/Biases-SA.html
https://competitions.codalab.org/competitions/17751
Field Of Study
Linguistic Trends
Embeddings
Task
Morphological Analysis
Sentiment Analysis
Argumentation Mining
Approach
Deep Learning
Representation Learning
Language
English
Spanish
Arabic
Dataset
Twitter
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