Sentiment Analysis Approach for Analyzing iPhone Release using Support Vector Machine

International Journal of Advances in Data and Information Systems

View Publication Info
 
 
Field Value
 
Title Sentiment Analysis Approach for Analyzing iPhone Release using Support Vector Machine
 
Creator Bourequat, Wasim
Mourad, Hassan
 
Subject sentiment analysis
text mining
svm
Support Vector Machine
youtube
iphone
 
Description Sentiment analysis is a process of understanding, extracting, and processing textual data automatically to get sentiment information contained in a comment sentence on Twitter. Sentiment analysis needs to be done because the use of social media in society is increasing so that it affects the development of public opinion. Therefore, it can be used to analyze public opinion by applying data science, one of which is Natural Language Processing (NLP) and Text Mining or also known as text analytics. The stages of the overall method used in this study are to do text mining on the Twitter site regarding iPhone Release with methods of scraping, labeling, preprocessing (case folding, tokenization, filtering), TF-IDF, and classification of sentiments using the Support Vector Machine. The Support Vector Machine is widely used as a baseline in text-related tasks with satisfactory results, on several evaluation matrices such as accuracy, precision, recall, and F1 score yielding 89.21%, 92.43%, 95.53%, and 93.95, respectively.
 
Publisher Indonesian Scientific Journal
 
Date 2021-04-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijadis.org/index.php/IJADIS/article/view/sentiment-analysis-approach-for-analyzing-iphone-release-using-s
10.25008/ijadis.v2i1.1216
 
Source International Journal of Advances in Data and Information Systems; Vol. 2 No. 1 (2021): April 2021 - International Journal of Advances in Data and Information Systems; 36-44
2721-3056
 
Language eng
 
Relation http://ijadis.org/index.php/IJADIS/article/view/sentiment-analysis-approach-for-analyzing-iphone-release-using-s/24
 
Rights Copyright (c) 2021 Wasim Bourequat, Hassan Mourad
https://creativecommons.org/licenses/by-sa/4.0
 

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