ON THE PERCEIVED IMAGE ANALYSIS OF BANDUNG CITY AS TOURISM DESTINATION USING OPINION MINING AND TOPIC MODELLING

The tourism industry has been a key to economic growth in the world since it develops a few years ago. On the other hand, the image of a specific tourism city is also important to determine the success of it. By using the insights of netizens on social media, we can determine the perceived image of...

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Main Author: Amarullah Romadhoni, Riefky
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/49962
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:49962
spelling id-itb.:499622020-09-21T19:46:11ZON THE PERCEIVED IMAGE ANALYSIS OF BANDUNG CITY AS TOURISM DESTINATION USING OPINION MINING AND TOPIC MODELLING Amarullah Romadhoni, Riefky Indonesia Theses Opinion Mining, City Branding, Bandung City Tourism, Destination Image, LDA INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/49962 The tourism industry has been a key to economic growth in the world since it develops a few years ago. On the other hand, the image of a specific tourism city is also important to determine the success of it. By using the insights of netizens on social media, we can determine the perceived image of Bandung City by netizen and construct a positive city brand according to that image. This research purpose is to get the projected image of people in social media about Bandung and also using topic modeling methodology to improve the result, specifically in the tourism and culture department section. After getting the result, this research also suggests how Bandung City should brand their city according to the image of the netizens. This research also will suggest what sector Bandung City can improve in the tourism image sector. This research is using a big data approach to gather the required data. The collected data is twitter posts from users who have “Bandung” in its post (keyword) with a period of the middle of August until the end of October 2018. After cleaning the data, this research is using descriptive analysis methodology and LDA to analyze the data. The collected data is split into two types which is retweet included data and retweet-excluded data. This research finds out that there are 10 categories that people talk about on Twitter about Bandung City. The result of this research shows that descriptive analysis methodology and LDA yields similar results and has its weakness and strength. The categories then combined to make a 3 major brand for Bandung City that can help with building Bandung City as a tourism destination. The importance of this research is to finds out the importance of social media in determining the image destination of a city and also creates a brand that empowers the city. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description The tourism industry has been a key to economic growth in the world since it develops a few years ago. On the other hand, the image of a specific tourism city is also important to determine the success of it. By using the insights of netizens on social media, we can determine the perceived image of Bandung City by netizen and construct a positive city brand according to that image. This research purpose is to get the projected image of people in social media about Bandung and also using topic modeling methodology to improve the result, specifically in the tourism and culture department section. After getting the result, this research also suggests how Bandung City should brand their city according to the image of the netizens. This research also will suggest what sector Bandung City can improve in the tourism image sector. This research is using a big data approach to gather the required data. The collected data is twitter posts from users who have “Bandung” in its post (keyword) with a period of the middle of August until the end of October 2018. After cleaning the data, this research is using descriptive analysis methodology and LDA to analyze the data. The collected data is split into two types which is retweet included data and retweet-excluded data. This research finds out that there are 10 categories that people talk about on Twitter about Bandung City. The result of this research shows that descriptive analysis methodology and LDA yields similar results and has its weakness and strength. The categories then combined to make a 3 major brand for Bandung City that can help with building Bandung City as a tourism destination. The importance of this research is to finds out the importance of social media in determining the image destination of a city and also creates a brand that empowers the city.
format Theses
author Amarullah Romadhoni, Riefky
spellingShingle Amarullah Romadhoni, Riefky
ON THE PERCEIVED IMAGE ANALYSIS OF BANDUNG CITY AS TOURISM DESTINATION USING OPINION MINING AND TOPIC MODELLING
author_facet Amarullah Romadhoni, Riefky
author_sort Amarullah Romadhoni, Riefky
title ON THE PERCEIVED IMAGE ANALYSIS OF BANDUNG CITY AS TOURISM DESTINATION USING OPINION MINING AND TOPIC MODELLING
title_short ON THE PERCEIVED IMAGE ANALYSIS OF BANDUNG CITY AS TOURISM DESTINATION USING OPINION MINING AND TOPIC MODELLING
title_full ON THE PERCEIVED IMAGE ANALYSIS OF BANDUNG CITY AS TOURISM DESTINATION USING OPINION MINING AND TOPIC MODELLING
title_fullStr ON THE PERCEIVED IMAGE ANALYSIS OF BANDUNG CITY AS TOURISM DESTINATION USING OPINION MINING AND TOPIC MODELLING
title_full_unstemmed ON THE PERCEIVED IMAGE ANALYSIS OF BANDUNG CITY AS TOURISM DESTINATION USING OPINION MINING AND TOPIC MODELLING
title_sort on the perceived image analysis of bandung city as tourism destination using opinion mining and topic modelling
url https://digilib.itb.ac.id/gdl/view/49962
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