Zobrazeno 1 - 7
of 7
pro vyhledávání: '"sheng-lan peng"'
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 8, p e29150 (2021)
BackgroundThe COVID-19 outbreak has induced negative emotions among people. These emotions are expressed by the public on social media and are rapidly spread across the internet, which could cause high levels of panic among the public. Understanding
Externí odkaz:
https://doaj.org/article/51cde4f129a84198a7dbae654ffb49d1
Publikováno v:
International Journal of Human–Computer Interaction. 38:1255-1266
The purpose of this research is to develop a methodology that combines the quantitative and the qualitative analysis to generate personas for products on social platforms. The user data on social p...
Publikováno v:
SSRN Electronic Journal.
Background: As the outbreak of COVID-19 has caused widespread panic in the general public, it is essential to understand how public sentiment has changed. Methods: In the current study, we continuously tracked online public sentiment through the year
Publikováno v:
Journal of Medical Internet Research
Background The COVID-19 outbreak has induced negative emotions among people. These emotions are expressed by the public on social media and are rapidly spread across the internet, which could cause high levels of panic among the public. Understanding
Autor:
Tie-Xin, Guo, Sheng-Lan, Peng
Publikováno v:
In Journal of Mathematical Analysis and Applications 15 November 2001 263(2):580-599
Autor:
Sheng-Lan Peng
Publikováno v:
2010 International Conference on Web Information Systems and Mining.
Word frequency analysis plays an essential role in many data mining tasks of large-scale data set based on text corpus, and hash list is a very simple but efficient structure for frequent pattern discovering. In this paper, a Poisson approximation ap
Autor:
Tie-Xin, Guo, Sheng-Lan, Peng
Publikováno v:
Journal of Mathematical Analysis and Applications; November 2001, Vol. 263 Issue: 2 p580-599, 20p