@inproceedings{d4ce86c2f8f54c838f3a5763161aee04,
title = "Emotion Label from ANEW Dataset for Searching Best Definition from WordNet",
abstract = "Emotions in a sentence can hold many roles in the field of sentiment analysis, knowing emotions can also be known through facial expressions, speech and text. In this paper we try to find the best definition for WordNet, by utilizing ANEW and ISEAR datasets. Sentences from WordNet that match the parameters of the two datasets will be searched for emotion, labeled according to the class and selected. This can be used in text mining. The result of this research showed that not all definitions in wordnet can accurately match all datasets and contexts.",
keywords = "ANEW, POS tagging, Thayer's Model, WordNet, word sense disambiguation",
author = "{Satrio Utomo}, Tegar and Riyanarto Sarno and Suhariyanto",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018 ; Conference date: 21-09-2018 Through 22-09-2018",
year = "2018",
month = nov,
day = "27",
doi = "10.1109/ISEMANTIC.2018.8549769",
language = "English",
series = "Proceedings - 2018 International Seminar on Application for Technology of Information and Communication: Creative Technology for Human Life, iSemantic 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "249--252",
booktitle = "Proceedings - 2018 International Seminar on Application for Technology of Information and Communication",
address = "United States",
}