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SemEval-2007 Task 14: Affective Text
Carlo Strapparava
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Rada Mihalcea
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Paper Details:
Month: June
Year: 2007
Location: Prague, Czech Republic
Venue:
*SEMEVAL |
SIG: SIGLEX
Citations
URL
On the Impact of Seed Words on Sentiment Polarity Lexicon Induction
Dame Jovanoski
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Veno Pachovski
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Preslav Nakov
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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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Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases
Ashequl Qadir
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Ellen Riloff
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Joint Emotion Analysis via Multi-task Gaussian Processes
Daniel Beck
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Trevor Cohn
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Lucia Specia
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Noise or additional information? Leveraging crowdsource annotation item agreement for natural language tasks.
Emily Jamison
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Iryna Gurevych
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Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo
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Alan Mislove
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Anders Søgaard
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Iyad Rahwan
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Sune Lehmann
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Fine-Grained Emotion Detection in Health-Related Online Posts
Hamed Khanpour
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Cornelia Caragea
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An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking
Yang Yang
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Deyu Zhou
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Yulan He
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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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EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis
Sven Buechel
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Udo Hahn
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Learning Kernels over Strings using Gaussian Processes
Daniel Beck
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Trevor Cohn
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Modelling Representation Noise in Emotion Analysis using Gaussian Processes
Daniel Beck
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Identifying Empathetic Messages in Online Health Communities
Hamed Khanpour
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Cornelia Caragea
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Prakhar Biyani
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Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools
Mark Cieliebak
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Oliver Dürr
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Fatih Uzdilli
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Emotion Corpus Construction Based on Selection from Hashtags
Minglei Li
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Yunfei Long
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Lu Qin
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Wenjie Li
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Representation Mapping: A Novel Approach to Generate High-Quality Multi-Lingual Emotion Lexicons
Sven Buechel
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Udo Hahn
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Good News or Bad News: Using Affect Control Theory to Analyze Readers’ Reaction Towards News Articles
Areej Alhothali
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Jesse Hoey
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ConnotationWordNet: Learning Connotation over the Word+Sense Network
Jun Seok Kang
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Song Feng
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Leman Akoglu
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Yejin Choi
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A Topic Model for Building Fine-grained Domain-specific Emotion Lexicon
Min Yang
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Dingju Zhu
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Kam-Pui Chow
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Depeche Mood: a Lexicon for Emotion Analysis from Crowd Annotated News
Jacopo Staiano
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Marco Guerini
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Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast
Svitlana Volkova
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Yoram Bachrach
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EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
Muhammad Abdul-Mageed
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Lyle Ungar
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Learning Structural Kernels for Natural Language Processing
Daniel Beck
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Trevor Cohn
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Christian Hardmeier
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Lucia Specia
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Towards the Improvement of Automatic Emotion Pre-annotation with Polarity and Subjective Information
Lea Canales
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Walter Daelemans
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Ester Boldrini
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Patricio Martínez-Barco
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Emotion Intensities in Tweets
Saif Mohammad
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Felipe Bravo-Marquez
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Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines
Youness Mansar
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Lorenzo Gatti
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Sira Ferradans
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Marco Guerini
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Jacopo Staiano
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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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UIUC at SemEval-2018 Task 1: Recognizing Affect with Ensemble Models
Abhishek Avinash Narwekar
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Roxana Girju
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Connotation in Translation
Marine Carpuat
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Modelling Valence and Arousal in Facebook posts
Daniel Preoţiuc-Pietro
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H. Andrew Schwartz
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Gregory Park
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Johannes Eichstaedt
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Margaret Kern
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Lyle Ungar
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Elisabeth Shulman
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A semantic-affective compositional approach for the affective labelling of adjective-noun and noun-noun pairs
Elisavet Palogiannidi
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Elias Iosif
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Polychronis Koutsakis
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Alexandros Potamianos
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Sentiment Analysis in Twitter: A SemEval Perspective
Preslav Nakov
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Microblog Emotion Classification by Computing Similarity in Text, Time, and Space
Anja Summa
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Bernd Resch
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Michael Strube
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Expressions of Anxiety in Political Texts
Ludovic Rheault
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Finnish resources for evaluating language model semantics
Viljami Venekoski
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Jouko Vankka
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Readers vs. Writers vs. Texts: Coping with Different Perspectives of Text Understanding in Emotion Annotation
Sven Buechel
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Udo Hahn
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Potential and Limitations of Cross-Domain Sentiment Classification
Jan Milan Deriu
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Martin Weilenmann
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Dirk Von Gruenigen
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Mark Cieliebak
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Predicting News Values from Headline Text and Emotions
Maria Pia di Buono
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Jan Šnajder
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Bojana Dalbelo Bašić
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Goran Glavaš
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Martin Tutek
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Natasa Milic-Frayling
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Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation
Ye Jiang
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Xingyi Song
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Jackie Harrison
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Shaun Quegan
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Diana Maynard
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Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus
Hendrik Schuff
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Jeremy Barnes
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Julian Mohme
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Sebastian Padó
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Roman Klinger
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WASSA-2017 Shared Task on Emotion Intensity
Saif Mohammad
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Felipe Bravo-Marquez
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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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Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain
Tobias Daudert
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Paul Buitelaar
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Sapna Negi
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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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UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models
Hassan Alhuzali
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Mohamed Elaraby
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Muhammad Abdul-Mageed
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Multiple Emotions Detection in Conversation Transcripts
Duc-Anh Phan
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Hiroyuki Shindo
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Yuji Matsumoto
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Event Based Emotion Classification for News Articles
Minglei Li
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Da Wang
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Qin Lu
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Yunfei Long
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No URLs Found
Field Of Study
Task
Text Categorization
Language
English
Dataset
News
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