Web-Based System for Bali Tourism Sentiment Analysis during The Covid-19 Pandemic using Django Web Framework and Naive Bayes Method

DOI

10.2991/assehr.k.211222.050How to use a DOI?

Keywords

Bali Tourism; Sentiment Analysis; Covid-19; Naïve Bayes; Django

Abstract

The province of Bali, which relies heavily on the tourism sector, is certainly affected by the Covid-19 pandemic. The various policies taken by the Bali Provincial Government in order to break the chain of the spread of Covid-19 always experience pros and cons in the community. The data from the analysis of public opinion on social media can be used as feedback to the government. The results of the analysis of social media data can be used as consideration for formulating more targeted policies. Analyzing public opinion on social media is not an easy thing. The challenges of processing opinion data from social media include the large amount of data that requires high costs such as time and effort if you have to analyze it manually one by one. The problem is complicated by dirty opinion data because it does not use standard language. In this study, a web-based system was developed to analyze Bali tourism sentiment using the Naïve Bayes method. The web-based system was developed with the Django web framework with a waterfall software development model. Based on performance testing, the Naive Bayes method can perform sentiment classification very well, which is indicated by an accuracy value of 81,70% and an f-measure value of 82,02%. From the results of sentiment analysis related to the topic of Bali tourism during the COVID-19 pandemic, the classification results obtained 65.67% of tweet data with positive sentiment and 34.33% of tweet data with negative sentiment from a total of 2377 tweet data collected in the period March 1, 2020 to March 1 2021.

Copyright

© 2021 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Gede Aditra Pradnyana
AU  - I Gede Mahendra Darmawiguna
PY  - 2021
DA  - 2021/12/21
TI  - Web-Based System for Bali Tourism Sentiment Analysis during The Covid-19 Pandemic using Django Web Framework and Naive Bayes Method
BT  - Proceedings of the 4th International Conference on Innovative Research Across Disciplines (ICIRAD 2021)
PB  - Atlantis Press
SP  - 316
EP  - 320
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211222.050
DO  - 10.2991/assehr.k.211222.050
ID  - Pradnyana2021
ER  -