Data mining plays an important role in getting insights from news text. This study collected 695,051 English-language news reports on terrorism and counter-terrorism from March 2017 to March 2018 in BBC news and conducted a text analysis with LDA topic modeling. 20 topics and five themes were classified, and it was disclosed that major themes include that: (1) BBC focused on constructing local discourse structure, (2) Comparing the news reports at home and abroad, and (3) Historical origins, the development in ancient and modern times and a trial of strength between different countries.
KEYWORDS: Video, Web 2.0 technologies, Cultural heritage, Data mining, Analytical research, Gold, Video processing, Data processing, Data modeling, Visualization
This paper intends to improve the dissemination of Chinese Chaozhou woodcarving by text mining analysis with users’ comments on TikTok. By LDA topic modeling analysis, we found the main themes users discuss are about: 1. Chaozhou woodcarving skills and aesthetics. 2. Chaozhou local cultural recognition and self-confidence. 3. Inheritance and continuation of Chaozhou woodcarving. Based on the analysis of user discussions on World Intangible Cultural Heritage, with Chaozhou woodcarving as an example, we suggested that in order to improve the dissemination, we need to: highlight the regional characteristics, arouse the hometown feelings and cultural resonance of young people in the Chaozhou area, add more practical elements to the work, and let it develop from art works to practical items.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.