@inproceedings{turcu-etal-2018-emointens,
title = "{E}mo{I}ntens Tracker at {S}em{E}val-2018 Task 1: Emotional Intensity Levels in {\#}Tweets",
author = "Turcu, Ramona-Andreea and
Amarandei, Sandra Maria and
Flescan-Lovin-Arseni, Iuliana-Alexandra and
Gifu, Daniela and
Trandabat, Diana",
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/S18-1026/",
doi = "10.18653/v1/S18-1026",
pages = "177--180",
abstract = "The {\quotedblbase}Affect in Tweets{\textquotedblright} task is centered on emotions categorization and evaluation matrix using multi-language tweets (English and Spanish). In this research, SemEval Affect dataset was preprocessed, categorized, and evaluated accordingly (precision, recall, and accuracy). The system described in this paper is based on the implementation of supervised machine learning (Naive Bayes, KNN and SVM), deep learning (NN Tensor Flow model), and decision trees algorithms."
}
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%0 Conference Proceedings
%T EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in #Tweets
%A Turcu, Ramona-Andreea
%A Amarandei, Sandra Maria
%A Flescan-Lovin-Arseni, Iuliana-Alexandra
%A Gifu, Daniela
%A Trandabat, Diana
%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 turcu-etal-2018-emointens
%X The \quotedblbaseAffect in Tweets” task is centered on emotions categorization and evaluation matrix using multi-language tweets (English and Spanish). In this research, SemEval Affect dataset was preprocessed, categorized, and evaluated accordingly (precision, recall, and accuracy). The system described in this paper is based on the implementation of supervised machine learning (Naive Bayes, KNN and SVM), deep learning (NN Tensor Flow model), and decision trees algorithms.
%R 10.18653/v1/S18-1026
%U https://aclanthology.org/S18-1026/
%U https://doi.org/10.18653/v1/S18-1026
%P 177-180
Markdown (Informal)
[EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in #Tweets](https://aclanthology.org/S18-1026/) (Turcu et al., SemEval 2018)
ACL