Product Review Sentiment Analysis by Artificial Neural Network Algorithm

Buying and selling and marketing goods and services are now done online. The online store provides facilities that enable its customers to provide review related products offered. The number of reviews received by the store, online sometimes does not allow the store online to analyze one by one. Thu...

Full description

Bibliographic Details
Main Authors: Tri Astuti, Irnawati Pratika
Format: Article
Language:English
Published: Bright Publisher 2019-09-01
Series:IJIIS: International Journal of Informatics and Information Systems
Subjects:
Online Access:http://ijiis.org/index.php/IJIIS/article/view/15
id doaj-0a381e0788834cf0a341f84dd378e3d2
record_format Article
spelling doaj-0a381e0788834cf0a341f84dd378e3d22021-07-03T00:30:48ZengBright PublisherIJIIS: International Journal of Informatics and Information Systems2579-70692019-09-0122616610.47738/ijiis.v2i2.1514Product Review Sentiment Analysis by Artificial Neural Network AlgorithmTri Astuti0Irnawati Pratika1Amikom University Purwokerto, IndonesiaAmikom University Purwokerto, IndonesiaBuying and selling and marketing goods and services are now done online. The online store provides facilities that enable its customers to provide review related products offered. The number of reviews received by the store, online sometimes does not allow the store online to analyze one by one. Thus, it takes the help of machines to assist in the analysis of such sentiments. Analysis of the sentiments of the review the product is done to help the shop get a general overview related to the level of consumer satisfaction. In this study, the ANN algorithm will be used to analyze sentiment for review. A product ANN algorithm used because it can provide high accuracy performance. This research resulted in a reasonably high accuracy performance is 88.2%.http://ijiis.org/index.php/IJIIS/article/view/15sentiment analysisann algorithmproduct review
collection DOAJ
language English
format Article
sources DOAJ
author Tri Astuti
Irnawati Pratika
spellingShingle Tri Astuti
Irnawati Pratika
Product Review Sentiment Analysis by Artificial Neural Network Algorithm
IJIIS: International Journal of Informatics and Information Systems
sentiment analysis
ann algorithm
product review
author_facet Tri Astuti
Irnawati Pratika
author_sort Tri Astuti
title Product Review Sentiment Analysis by Artificial Neural Network Algorithm
title_short Product Review Sentiment Analysis by Artificial Neural Network Algorithm
title_full Product Review Sentiment Analysis by Artificial Neural Network Algorithm
title_fullStr Product Review Sentiment Analysis by Artificial Neural Network Algorithm
title_full_unstemmed Product Review Sentiment Analysis by Artificial Neural Network Algorithm
title_sort product review sentiment analysis by artificial neural network algorithm
publisher Bright Publisher
series IJIIS: International Journal of Informatics and Information Systems
issn 2579-7069
publishDate 2019-09-01
description Buying and selling and marketing goods and services are now done online. The online store provides facilities that enable its customers to provide review related products offered. The number of reviews received by the store, online sometimes does not allow the store online to analyze one by one. Thus, it takes the help of machines to assist in the analysis of such sentiments. Analysis of the sentiments of the review the product is done to help the shop get a general overview related to the level of consumer satisfaction. In this study, the ANN algorithm will be used to analyze sentiment for review. A product ANN algorithm used because it can provide high accuracy performance. This research resulted in a reasonably high accuracy performance is 88.2%.
topic sentiment analysis
ann algorithm
product review
url http://ijiis.org/index.php/IJIIS/article/view/15
work_keys_str_mv AT triastuti productreviewsentimentanalysisbyartificialneuralnetworkalgorithm
AT irnawatipratika productreviewsentimentanalysisbyartificialneuralnetworkalgorithm
_version_ 1721321359630401536