PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags

Ji Ho Park; Peng Xu; Pascale Fung

doi:10.18653/v1/S18-1039

PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags

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Abstract

This paper describes our system that has been submitted to SemEval-2018 Task 1: Affect in Tweets (AIT) to solve five subtasks. We focus on modeling both sentence and word level representations of emotion inside texts through large distantly labeled corpora with emojis and hashtags. We transfer the emotional knowledge by exploiting neural network models as feature extractors and use these representations for traditional machine learning models such as support vector regression (SVR) and logistic regression to solve the competition tasks. Our system is placed among the Top3 for all subtasks we participated.

Anthology ID:: S18-1039
Volume:: Proceedings of the 12th International Workshop on Semantic Evaluation
Month:: June
Year:: 2018
Address:: New Orleans, Louisiana
Editors:: Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:: SemEval
SIG:: SIGLEX
Publisher:: Association for Computational Linguistics
Note:
Pages:: 264–272
Language:
URL:: https://aclanthology.org/S18-1039/
DOI:: 10.18653/v1/S18-1039
Bibkey:
Cite (ACL):: Ji Ho Park, Peng Xu, and Pascale Fung. 2018. PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 264–272, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):: PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags (Park et al., SemEval 2018)
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PDF:: https://aclanthology.org/S18-1039.pdf

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@inproceedings{park-etal-2018-plusemo2vec,
    title = "{P}lus{E}mo2{V}ec at {S}em{E}val-2018 Task 1: Exploiting emotion knowledge from emoji and {\#}hashtags",
    author = "Park, Ji Ho  and
      Xu, Peng  and
      Fung, Pascale",
    editor = "Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      May, Jonathan  and
      Shutova, Ekaterina  and
      Bethard, Steven  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/S18-1039/",
    doi = "10.18653/v1/S18-1039",
    pages = "264--272",
    abstract = "This paper describes our system that has been submitted to SemEval-2018 Task 1: Affect in Tweets (AIT) to solve five subtasks. We focus on modeling both sentence and word level representations of emotion inside texts through large distantly labeled corpora with emojis and hashtags. We transfer the emotional knowledge by exploiting neural network models as feature extractors and use these representations for traditional machine learning models such as support vector regression (SVR) and logistic regression to solve the competition tasks. Our system is placed among the Top3 for all subtasks we participated."
}

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%0 Conference Proceedings
%T PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags
%A Park, Ji Ho
%A Xu, Peng
%A Fung, Pascale
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F park-etal-2018-plusemo2vec
%X This paper describes our system that has been submitted to SemEval-2018 Task 1: Affect in Tweets (AIT) to solve five subtasks. We focus on modeling both sentence and word level representations of emotion inside texts through large distantly labeled corpora with emojis and hashtags. We transfer the emotional knowledge by exploiting neural network models as feature extractors and use these representations for traditional machine learning models such as support vector regression (SVR) and logistic regression to solve the competition tasks. Our system is placed among the Top3 for all subtasks we participated.
%R 10.18653/v1/S18-1039
%U https://aclanthology.org/S18-1039/
%U https://doi.org/10.18653/v1/S18-1039
%P 264-272

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Markdown (Informal)

[PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags](https://aclanthology.org/S18-1039/) (Park et al., SemEval 2018)

PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags (Park et al., SemEval 2018)

ACL

Ji Ho Park, Peng Xu, and Pascale Fung. 2018. PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 264–272, New Orleans, Louisiana. Association for Computational Linguistics.