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        <title>KDE-AFFECT at SemEval-2018 Task 1: Estimation of Affects in Tweet by Using Convolutional Neural Network for n-gram</title>
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    <abstract>This paper describes our approach to SemEval-2018 Task1: Estimation of Affects in Tweet for 1a and 2a. Our team KDE-AFFECT employs several methods including one-dimensional Convolutional Neural Network for $n$-grams, together with word embedding and other preprocessing such as vocabulary unification and Emoji conversion into four emotional words.</abstract>
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%0 Conference Proceedings
%T KDE-AFFECT at SemEval-2018 Task 1: Estimation of Affects in Tweet by Using Convolutional Neural Network for n-gram
%A Aono, Masaki
%A Himeno, Shinnosuke
%S Proceedings of The 12th International Workshop on Semantic Evaluation
%D 2018
%8 jun
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F aono-himeno-2018-kde
%X This paper describes our approach to SemEval-2018 Task1: Estimation of Affects in Tweet for 1a and 2a. Our team KDE-AFFECT employs several methods including one-dimensional Convolutional Neural Network for $n$-grams, together with word embedding and other preprocessing such as vocabulary unification and Emoji conversion into four emotional words.
%R 10.18653/v1/S18-1022
%U https://aclanthology.org/S18-1022
%U https://doi.org/10.18653/v1/S18-1022
%P 156-161

Markdown (Informal)

[KDE-AFFECT at SemEval-2018 Task 1: Estimation of Affects in Tweet by Using Convolutional Neural Network for n-gram](https://aclanthology.org/S18-1022) (Aono & Himeno, SemEval 2018)

• KDE-AFFECT at SemEval-2018 Task 1: Estimation of Affects in Tweet by Using Convolutional Neural Network for n-gram (Aono & Himeno, SemEval 2018)

ACL

• Masaki Aono and Shinnosuke Himeno. 2018. KDE-AFFECT at SemEval-2018 Task 1: Estimation of Affects in Tweet by Using Convolutional Neural Network for n-gram. In Proceedings of The 12th International Workshop on Semantic Evaluation, pages 156–161, New Orleans, Louisiana. Association for Computational Linguistics.