Association Meaning in Identifying Pleasant Tweets

Diyas Puspandari, Syihabuddin Syihabuddin, Wawan Gunawan

2017

Abstract

Social media, such as Twitter, can be used by the government to analyze netizens’ opinions. From thousands of tweets, certainly it will take time if the analysis is conducted manually. Therefore, an analysis tool is needed to know current opinion in a fast and real-time way. The purposes of this research are: 1) to describe the association meaning formed from pleasant tweets in Bandung, 2) to build a classification system based on semantic analysis to find out pleasant tweets of society in Bandung in near real-time way. The step conducted was by filtering words from the tweets to examine which words experience changes in meaning (have pleasant association meaning), mainly on words which convey places then change by getting additional meaning because of undergoing association process. The results of this research are 1) the database of association meaning of tweets from society in Bandung, 2) the application to analyze pleasant tweets in near real-time way based on association meaning.

Paper Citation

in Harvard Style

Puspandari D., Syihabuddin S. and Gunawan W. (2017). Association Meaning in Identifying Pleasant Tweets.In The Tenth Conference on Applied Linguistics and The Second English Language Teaching and Technology Conference in collaboration with The First International Conference on Language, Literature, Culture, and Education - Volume 1: CONAPLIN and ICOLLITE, ISBN 978-989-758-332-2, pages 446-449. DOI: 10.5220/0007168904460449

in Bibtex Style

@conference{conaplin and icollite17,
author={Diyas Puspandari and Syihabuddin Syihabuddin and Wawan Gunawan},
title={Association Meaning in Identifying Pleasant Tweets},
booktitle={The Tenth Conference on Applied Linguistics and The Second English Language Teaching and Technology Conference in collaboration with The First International Conference on Language, Literature, Culture, and Education - Volume 1: CONAPLIN and ICOLLITE,},
year={2017},
pages={446-449},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007168904460449},
isbn={978-989-758-332-2},
}

in EndNote Style

TY - CONF

JO - The Tenth Conference on Applied Linguistics and The Second English Language Teaching and Technology Conference in collaboration with The First International Conference on Language, Literature, Culture, and Education - Volume 1: CONAPLIN and ICOLLITE,
TI - Association Meaning in Identifying Pleasant Tweets
SN - 978-989-758-332-2
AU - Puspandari D.
AU - Syihabuddin S.
AU - Gunawan W.
PY - 2017
SP - 446
EP - 449
DO - 10.5220/0007168904460449