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Emotion Intensities in Tweets
Saif Mohammad
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Felipe Bravo-Marquez
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Paper Details:
Month: August
Year: 2017
Location: Vancouver, Canada
Venue:
*SEMEVAL |
Citations
URL
Learning Emotion-enriched Word Representations
Ameeta Agrawal
|
Aijun An
|
Manos Papagelis
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An Analysis of Annotated Corpora for Emotion Classification in Text
Laura-Ana-Maria Bostan
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Roman Klinger
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Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level
Sven Buechel
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Udo Hahn
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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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Modeling Empathy and Distress in Reaction to News Stories
Sven Buechel
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Anneke Buffone
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Barry Slaff
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Lyle Ungar
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João Sedoc
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Modelling Representation Noise in Emotion Analysis using Gaussian Processes
Daniel Beck
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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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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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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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CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons
Raj Kumar Gupta
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Yinping Yang
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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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SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection
Angel Deborah S
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Rajalakshmi S
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S Milton Rajendram
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Mirnalinee T T
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Feature-Enriched Character-Level Convolutions for Text Regression
Gustavo Paetzold
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Lucia Specia
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WASSA-2017 Shared Task on Emotion Intensity
Saif Mohammad
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Felipe Bravo-Marquez
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GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection
Egor Lakomkin
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Chandrakant Bothe
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Stefan Wermter
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PLN-PUCRS at EmoInt-2017: Psycholinguistic features for emotion intensity prediction in tweets
Henrique Santos
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Renata Vieira
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Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator
Venkatesh Duppada
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Sushant Hiray
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NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in Tweets
Sreekanth Madisetty
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Maunendra Sankar Desarkar
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Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach
Antonio Moreno-Ortiz
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EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity
Edison Marrese-Taylor
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Yutaka Matsuo
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YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model
Yuanye He
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Liang-Chih Yu
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K. Robert Lai
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Weiyi Liu
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UWat-Emote at EmoInt-2017: Emotion Intensity Detection using Affect Clues, Sentiment Polarity and Word Embeddings
Vineet John
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Olga Vechtomova
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deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets
Vinayakumar R
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Premjith B
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Sachin Kumar S
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Soman KP
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Prabaharan Poornachandran
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Enabling Deep Learning of Emotion With First-Person Seed Expressions
Hassan Alhuzali
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Muhammad Abdul-Mageed
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Lyle Ungar
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https://github.com/felipebravom/AffectiveTweets
http://saifmohammad.com/WebPages/EmotionIntensity-
https://competitions.codalab.org/competitions/16380
http://saifmohammad.com/WebPages/BestWorst.html
http://www.csie.ntu.edu.tw/cjlin/liblinear/
http://saifmohammad.com/WebPages/AffectIntensity.htm
https://doi.org/10.1145/1656274.1656278
https://doi.org/10.1111/coin.12024
http://saifmohammad.com/WebPages/EmotionIntensity-SharedTask.html
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Sentiment Analysis
Emotion Detection
Language
English
Arabic
Dataset
Social Media
Twitter
Blogs
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