Disney at IEST 2018: Predicting Emotions using an Ensemble (original) (raw)

Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets

Devang Kulshreshtha, Pranav Goel

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UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models

Hassan Alhuzali

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2018

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Convolutional Neural Network Multi-Emotion Classifiers

Mostafa aref

Jordanian Journal of Computers and Information Technology, 2019

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deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets

Vinayakumar Ravi

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2017

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EmoDNN: Understanding emotions from short texts through a deep neural network ensemble

saeid hosseini

ArXiv, 2021

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IEST: WASSA-2018 Implicit Emotions Shared Task

Saif M Mohammad

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

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SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks

Giovanni Semeraro

Proceedings of the 13th International Workshop on Semantic Evaluation

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EmoDet at SemEval-2019 Task 3: Emotion Detection in Text using Deep Learning

Malak Abdullah

Proceedings of the 13th International Workshop on Semantic Evaluation

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How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]

Shad Akhtar

IEEE Computational Intelligence Magazine

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SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats

Boaz Shmueli

ArXiv, 2019

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Automatically Classifying Emotions based on Text: A Comparative Exploration of Different Datasets

Jairo Garciga

arXiv (Cornell University), 2023

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SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text

Ankush Chatterjee

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

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GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus

Mona Diab

Proceedings of the 13th International Workshop on Semantic Evaluation

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DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning

Saif M Mohammad

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

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How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs

Pranav Goel

2018

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Emotion Recognition on Twitter: Comparative Study and Training a Unison Model

SUDHAKAR KATTUPALLI

IEEE Transactions on Affective Computing, 2018

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GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus

Mona Diab

2019

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WASSA-2017 Shared Task on Emotion Intensity

Saif M Mohammad

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

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IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning

Evgeny Kim

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Affective analysis of text in tweets

Abhishek Narwekar

2018

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HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition

Alaettin UÇAN

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Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach

Atharva Naik

Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

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GradAscent at EmoInt-2017: Character-and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection

Stefan Wermter

2017

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Emotion Detection From Tweets Using a BERT and SVM Ensemble Model

Stelian Spinu

arXiv (Cornell University), 2022

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IJERT-Using Hashtags to Capture Fine Emotion Categories from Tweets

IJERT Journal

International Journal of Engineering Research and Technology (IJERT), 2019

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Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator

Sushant Hiray

Association of Computational Linguistics, 2017

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TSA-INF at SemEval-2017 Task 4: An Ensemble of Deep Learning Architectures Including Lexicon Features for Twitter Sentiment Analysis

Amit Ajit Deshmane

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 2017

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EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in #Tweets

Diana Trandabat

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

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DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning

Maryam Hasan

2021 IEEE International Conference on Big Data (Big Data)

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Emotion Detection from Text: Classification and Prediction of Moods in Real-Time Streaming Text

Joyece Jane

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