A Comparative Analysis of Attention to Facial Recognition Payment Between China and South Korea: A News Analysis Using Latent Dirichlet Allocation

Che, ShaoPeng; Nan, Dongyan; Kamphuis, Pim; Kim, Jang Hyun

doi:10.1007/978-3-030-78642-7_11

Cited by 4 publications

(1 citation statement)

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“…It is interesting to note here that LDA algorithm is used for modeling topics in text, video, and image [16]. Regarding languages, LDA has been implemented in various languages, such as in Chinese [17] and Bahasa [18] [19]. In addition, a more advanced technique for topic modeling in a multi-language environment has been proposed by Zosa and Granroth-Wilding [20].…”

Section: Text Miningmentioning

confidence: 99%

The Tweetology of New and Renewable Energy in Indonesia

Yunita,

Telaumbanua,

Irawan

2023

Indonesian J. Comput. Cybern. Syst.

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The amount of unstructured data is increasing annually, which is promising forgaining insights. Twitter, a platform producing unstructured data, is currently one of the mostpopular media platforms used for conducting research on a topic's trend. This study attempts toanalyze the topic of New and Renewable Energy (NRE) in Indonesia. The purpose of this studyis to gain insights into the NRE topic trend over the last ten years by modeling the topicsdiscussed on Twitter and examining the location distribution of users who post tweets about thetopic. Accordingly, this study employed descriptive analysis, geocoding analysis, and topicmodeling. The results of descriptive analysis show that the development of NRE has acceleratedin recent years, particularly in 2021. Geocoding analysis reveals that the distribution of peoplewho engage in NRE posting activities is dominated by DKI Jakarta province. Topic modelingyielding two topics that were discussed the most by Indonesians over a 10-year period. The twotopics are related to government policies that support the development of NRE and electricity,which is Indonesia's focus in NRE. This study highlights the importance of analyzing theTweetology of NRE.

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