Market Sentiment Analysis on The Tourism and Recreation Industry in The IDX Post-Pandemic Using the CRISP-DM Method on Twitter Data

DOI

10.2991/978-94-6463-622-2_28How to use a DOI?

Keywords

CRISP-DM; Herding Behavior; Naïve Bayes; Sentiment Analisis

Abstract

This study aims to find out the positive or negative sentiment of investors on social media Twitter towards 43 companies in the Tourism and Recreation Industry which consists of four sub-industries, namely Hotels, Resorts and Cruiselines, Travel Agencies, Recreational & Sports Facilities, and Restaurants listed on the IDX (Indonesia Stock Exchange) after the Covid-19 pandemic. The sample used is tweet data posted from June 23, 2023, to January 23, 2024, with the keyword issuer code and company name, so that it can be one of the guidelines for making investment decisions based on herding behavior, sentiment analysis is carried out on the social media platform Twitter by using key words of the issuer code and the company’s name in the tourism and recreation industry on the IDX using the CRISP-DM (Cross Industry Standard Process Data) method Mining) with the Naïve Bayes algorithm. Based on the calculation using the CRISP-DM method, the results were obtained in neutral data at 74.11%, positive data at 44.75%, and negative data at 19.28%, with the number of Positive Sentiment Prediction 153, Neutral 152, and Negative 130 on social media Twitter for 43 companies in the Tourism and Recreation Industry.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ida Bagas Gede Dananjaya
AU  - Upayana Wiguna Eka Saputra
AU  - Made Andi Pramana Sukarta
AU  - Ida Bagus Sanjaya
AU  - Cokorda Istri Sri Vidhari
PY  - 2024
DA  - 2024/12/31
TI  - Market Sentiment Analysis on The Tourism and Recreation Industry in The IDX Post-Pandemic Using the CRISP-DM Method on Twitter Data
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Social Applied Science 2024 (ICoSTAS-SAS 2024)
PB  - Atlantis Press
SP  - 247
EP  - 255
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-622-2_28
DO  - 10.2991/978-94-6463-622-2_28
ID  - Dananjaya2024
ER  -