Sentiment Analysis of Restaurant Review with Classification Approach in the Decision Tree-J48 Algorithm

Masrur Adnan; Riyanarto Sarno; Kelly Rossa Sungkono

doi:10.1109/ISEMANTIC.2019.8884282

Sentiment Analysis of Restaurant Review with Classification Approach in the Decision Tree-J48 Algorithm

Masrur Adnan, Riyanarto Sarno, Kelly Rossa Sungkono

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

Abstract

In the increasingly fierce restaurant business competition, many restaurants compete to provide the best quality for consumers. The quality of the restaurant includes food and drink, environment, place and service. The condition affects the restaurant brand image that is marked whether consumers are satisfied or not. One of review restaurant website called TripAdvisor is chosen as the data source because it contains User-Generated Content features (UGC). The advantage of using UGC is to ensure the authenticity of consumer comment data. English texts classification is used in this study to determine dissatisfaction (negative) and satisfaction (positive) of consumers based on their comment or review. This paper utilises Decision Tree-J48 as the classification method in this study. Data retrieval is done by crawling data using WebHarvy. The overall performance of the Decision Tree-J48 method is the average value of Precision 48.7%, Recall 36.8%, F-Measure 41.40% and accuracy 45.6%. The benefit of this classification results is as a recommendation for consumers to choose the best restaurant.

Original language	English
Title of host publication	Proceedings - 2019 International Seminar on Application for Technology of Information and Communication
Subtitle of host publication	Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	121-126
Number of pages	6
ISBN (Electronic)	9781728138329
DOIs	https://doi.org/10.1109/ISEMANTIC.2019.8884282
Publication status	Published - Sept 2019
Event	2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019 - Semarang, Indonesia Duration: 21 Sept 2019 → 22 Sept 2019

Publication series

Name	Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019

Conference

Conference	2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019
Country/Territory	Indonesia
City	Semarang
Period	21/09/19 → 22/09/19

Keywords

Decision tree-j48
F-measure
Precision
Recall
Sentiment analysis

Access to Document

10.1109/ISEMANTIC.2019.8884282

Cite this

Adnan, M., Sarno, R., & Sungkono, K. R. (2019). Sentiment Analysis of Restaurant Review with Classification Approach in the Decision Tree-J48 Algorithm. In Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019 (pp. 121-126). Article 8884282 (Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISEMANTIC.2019.8884282

Adnan, Masrur ; Sarno, Riyanarto ; Sungkono, Kelly Rossa. / Sentiment Analysis of Restaurant Review with Classification Approach in the Decision Tree-J48 Algorithm. Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 121-126 (Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019).

@inproceedings{84dbfa75ffe140c080caa9ad4129d6d9,

title = "Sentiment Analysis of Restaurant Review with Classification Approach in the Decision Tree-J48 Algorithm",

abstract = "In the increasingly fierce restaurant business competition, many restaurants compete to provide the best quality for consumers. The quality of the restaurant includes food and drink, environment, place and service. The condition affects the restaurant brand image that is marked whether consumers are satisfied or not. One of review restaurant website called TripAdvisor is chosen as the data source because it contains User-Generated Content features (UGC). The advantage of using UGC is to ensure the authenticity of consumer comment data. English texts classification is used in this study to determine dissatisfaction (negative) and satisfaction (positive) of consumers based on their comment or review. This paper utilises Decision Tree-J48 as the classification method in this study. Data retrieval is done by crawling data using WebHarvy. The overall performance of the Decision Tree-J48 method is the average value of Precision 48.7%, Recall 36.8%, F-Measure 41.40% and accuracy 45.6%. The benefit of this classification results is as a recommendation for consumers to choose the best restaurant.",

keywords = "Decision tree-j48, F-measure, Precision, Recall, Sentiment analysis",

author = "Masrur Adnan and Riyanarto Sarno and Sungkono, {Kelly Rossa}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019 ; Conference date: 21-09-2019 Through 22-09-2019",

year = "2019",

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Adnan, M, Sarno, R & Sungkono, KR 2019, Sentiment Analysis of Restaurant Review with Classification Approach in the Decision Tree-J48 Algorithm. in Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019., 8884282, Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019, Institute of Electrical and Electronics Engineers Inc., pp. 121-126, 2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019, Semarang, Indonesia, 21/09/19. https://doi.org/10.1109/ISEMANTIC.2019.8884282

Sentiment Analysis of Restaurant Review with Classification Approach in the Decision Tree-J48 Algorithm. / Adnan, Masrur; Sarno, Riyanarto ; Sungkono, Kelly Rossa.
Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 121-126 8884282 (Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Adnan, Masrur

AU - Sarno, Riyanarto

AU - Sungkono, Kelly Rossa

PY - 2019/9

Y1 - 2019/9

N2 - In the increasingly fierce restaurant business competition, many restaurants compete to provide the best quality for consumers. The quality of the restaurant includes food and drink, environment, place and service. The condition affects the restaurant brand image that is marked whether consumers are satisfied or not. One of review restaurant website called TripAdvisor is chosen as the data source because it contains User-Generated Content features (UGC). The advantage of using UGC is to ensure the authenticity of consumer comment data. English texts classification is used in this study to determine dissatisfaction (negative) and satisfaction (positive) of consumers based on their comment or review. This paper utilises Decision Tree-J48 as the classification method in this study. Data retrieval is done by crawling data using WebHarvy. The overall performance of the Decision Tree-J48 method is the average value of Precision 48.7%, Recall 36.8%, F-Measure 41.40% and accuracy 45.6%. The benefit of this classification results is as a recommendation for consumers to choose the best restaurant.

AB - In the increasingly fierce restaurant business competition, many restaurants compete to provide the best quality for consumers. The quality of the restaurant includes food and drink, environment, place and service. The condition affects the restaurant brand image that is marked whether consumers are satisfied or not. One of review restaurant website called TripAdvisor is chosen as the data source because it contains User-Generated Content features (UGC). The advantage of using UGC is to ensure the authenticity of consumer comment data. English texts classification is used in this study to determine dissatisfaction (negative) and satisfaction (positive) of consumers based on their comment or review. This paper utilises Decision Tree-J48 as the classification method in this study. Data retrieval is done by crawling data using WebHarvy. The overall performance of the Decision Tree-J48 method is the average value of Precision 48.7%, Recall 36.8%, F-Measure 41.40% and accuracy 45.6%. The benefit of this classification results is as a recommendation for consumers to choose the best restaurant.

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KW - F-measure

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KW - Recall

KW - Sentiment analysis

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M3 - Conference contribution

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T3 - Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019

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BT - Proceedings - 2019 International Seminar on Application for Technology of Information and Communication

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019

Y2 - 21 September 2019 through 22 September 2019

ER -

Adnan M, Sarno R , Sungkono KR. Sentiment Analysis of Restaurant Review with Classification Approach in the Decision Tree-J48 Algorithm. In Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 121-126. 8884282. (Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019). doi: 10.1109/ISEMANTIC.2019.8884282

Sentiment Analysis of Restaurant Review with Classification Approach in the Decision Tree-J48 Algorithm

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