Summarizing Online Conversation of Indonesia Tourism Industry using Network Text Analysis
The tourism industry is one of the potential revenues and has an important role in economics in Indonesia. The tourism Industry brings job and business opportunities, foreign exchange earnings, and infrastructure development, tourism also plays the role of one of the main drivers in socio-economic progress in Indonesia. The number of foreign tourists visiting Indonesia increase cumulatively and has reached 10.41 million visits or an increase of 10.46 percent from the same period in the previous year. Government trying to increase the number of tourists to visit Indonesia by promoting many Indonesian tourist attractions.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Aspect-based Sentiment Analysis on Indonesia’s Tourism Destinations Based on Google Maps User Code-Mixed Reviews (Study Case: Borobudur and Prambanan Temples)
An Effort to Measure Customer Relationship Performance in Indonesia's Fintech Industry
The availability of social media simplifies the companies-customers relationship. An effort to engage customers in conversation networks using social media is called Social Customer Relationship Management (SCRM). Social…
ManagementSentiment AnalysisEmotional Contribution Analysis of Online Reviews
In response to the constant increase in population and tourism worldwide, there is a need for the development of cross-language market research tools that are more cost and time effective than surveys or interviews. Focu…
BIG-bench Machine LearningUsing social network and semantic analysis to analyze online travel forums and forecast tourism demand
Forecasting tourism demand has important implications for both policy makers and companies operating in the tourism industry. In this research, we applied methods and tools of social network and semantic analysis to stud…
Summarizing Behaviours: An Experiment on the Annotation of Call-Centre Conversations
Annotating and predicting behavioural aspects in conversations is becoming critical in the conversational analytics industry. In this paper we look into inter-annotator agreement of agent behaviour dimensions on two call…