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WASSA - 2017
Total Papers:- 38
Total Papers accross all years:- 278
Total Citations :- 122
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WASSA-2017 Shared Task on Emotion Intensity
Saif Mohammad |
Felipe Bravo-Marquez |
Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets
Pranav Goel |
Devang Kulshreshtha |
Prayas Jain |
Kaushal Kumar Shukla |
IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning
Maximilian Köper |
Evgeny Kim |
Roman Klinger |
Explaining Recurrent Neural Network Predictions in Sentiment Analysis
Leila Arras |
Grégoire Montavon |
Klaus-Robert Müller |
Wojciech Samek |
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
Jeremy Barnes |
Roman Klinger |
Sabine Schulte im Walde |
Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus
Hendrik Schuff |
Jeremy Barnes |
Julian Mohme |
Sebastian Padó |
Roman Klinger |
Lexicon Integrated CNN Models with Attention for Sentiment Analysis
Bonggun Shin |
Timothy Lee |
Jinho D. Choi |
Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus
Giulia Donato |
Patrizia Paggio |
IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features
Md Shad Akhtar |
Palaash Sawant |
Asif Ekbal |
Jyoti Pawar |
Pushpak Bhattacharyya |
UWat-Emote at EmoInt-2017: Emotion Intensity Detection using Affect Clues, Sentiment Polarity and Word Embeddings
Vineet John |
Olga Vechtomova |
Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator
Venkatesh Duppada |
Sushant Hiray |
GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection
Egor Lakomkin |
Chandrakant Bothe |
Stefan Wermter |
Building a SentiWordNet for Odia
Gaurav Mohanty |
Abishek Kannan |
Radhika Mamidi |
Forecasting Consumer Spending from Purchase Intentions Expressed on Social Media
Viktor Pekar |
Jane Binner |
Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets
Athanasios Giannakopoulos |
Claudiu Musat |
Andreea Hossmann |
Michael Baeriswyl |
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