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Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets
Pranav Goel
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Devang Kulshreshtha
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Prayas Jain
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Kaushal Kumar Shukla
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
WASSA |
WS |
Citations
URL
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs
Devang Kulshreshtha
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Pranav Goel
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Anil Kumar Singh
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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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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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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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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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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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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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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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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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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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Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection
Aidan San
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NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification
Alexandra Chronopoulou
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Aikaterini Margatina
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Christos Baziotis
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Alexandros Potamianos
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EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets
Man Liu
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HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets
Wenting Wang
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http://saifmohammad.com/WebPages/EmotionIntensity-
https://github.com/felipebravom/AffectiveTweets
https://competitions.codalab.org/competitions/16380#results
Field Of Study
Linguistic Trends
Embeddings
Task
Sentiment Analysis
Approach
Deep Learning
Language
English
Dataset
Twitter
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