TY - JOUR
T1 - A Predictive Analytic on Data Online Digital News using Systematic Literature Review
AU - Fauzie Afidh, Razief Perucha
AU - Hasibuan, Zainal A.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/8/5
Y1 - 2020/8/5
N2 - This study intents to provide an overview of the use of online digital news as a text dataset for future data analysis. Systematic literature review used as the method for collecting and analyze the information from previous study that used online digital news as a dataset. The result showed that the used of online digital news as a dataset can be implemented for classification and clustering. Furthermore, online digital news dataset is used to predict stock price and product price movement, to predict the approval rate for election process, to analyze the diseases epidemiology, to detect event, classification of fakes news, popularity of news in social media and other NLP tasks. By comparing online digital news dataset versus social media dataset, it can be used to detect fake news, news popularity prediction, stock price prediction, topic detection, sentiment analysis, event detection and prediction, spam detection, trending topic prediction and other task. Online digital news as a text dataset has a powerful performance to be implemented in the various field such as economics, political, health, language and so forth.
AB - This study intents to provide an overview of the use of online digital news as a text dataset for future data analysis. Systematic literature review used as the method for collecting and analyze the information from previous study that used online digital news as a dataset. The result showed that the used of online digital news as a dataset can be implemented for classification and clustering. Furthermore, online digital news dataset is used to predict stock price and product price movement, to predict the approval rate for election process, to analyze the diseases epidemiology, to detect event, classification of fakes news, popularity of news in social media and other NLP tasks. By comparing online digital news dataset versus social media dataset, it can be used to detect fake news, news popularity prediction, stock price prediction, topic detection, sentiment analysis, event detection and prediction, spam detection, trending topic prediction and other task. Online digital news as a text dataset has a powerful performance to be implemented in the various field such as economics, political, health, language and so forth.
UR - http://www.scopus.com/inward/record.url?scp=85091357420&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/879/1/012094
DO - 10.1088/1757-899X/879/1/012094
M3 - Conference article
AN - SCOPUS:85091357420
SN - 1757-8981
VL - 879
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012094
T2 - 3rd International Conference on Informatics, Engineering, Science, and Technology, INCITEST 2020
Y2 - 11 June 2020
ER -