automatic collection
Recently Published Documents


TOTAL DOCUMENTS

90
(FIVE YEARS 19)

H-INDEX

8
(FIVE YEARS 1)

2021 ◽  
Author(s):  
Nicholas Kashani Motlagh ◽  
Aswathnarayan Radhakrishnan ◽  
Jim Davis ◽  
Roman Ilin

2021 ◽  
Author(s):  
Sanidhya Singal ◽  
Piyush Singh ◽  
Manjeet Dahiya
Keyword(s):  

Author(s):  
Luis Moya ◽  
Masakazu Hashimoto ◽  
Erick Mas ◽  
Shunichi Koshimura

Author(s):  
Beslan Mukhamedovich Khokonov

The subject of this research is the functional contradictions of financial control that have developed between its key systemic goal and organizational forms of practical implementation. Currently, the management and organization of financial control do not correspond to the content of the control function of finance, the generally accepted interpretation of which is the orientation towards optimization of cost proportions of reproduction. In terms of formal all-encompassing systematicity of financial control, the dynamics of these cost proportions is not allocated by the existing organizational schemes, which is particularly evident in the unfolding processes of financialization of the economy. Such functional incompatibility is systemic in nature, and substantiates the need for fundamental changes in the content of financial control, which would ensure the return of finances to their initial control function. The goal of this research lies in outlining the priority vector of transformation of financial control. The results and scientific novelty of this work are presented in interpretation of the new content of financial control through integration with the formation of the fundamentals of digital economy, priority development of such cross-cutting technology as the distributed public registry blockchain. In conclusion, the author justifies the need of turning financial control into the internal immanent component of financial relations on the rigid background technology with automatic collection processes, recovery, analysis and storage of data.


Author(s):  
Gery Laurent ◽  
Benjamin Guinhouya ◽  
Marielle Whatelet ◽  
Antoine Lamer

The objective of this study was to test the feasibility of automatically extracting and exploiting data from the YouTube platform, with a focus on the videos produced by the French YouTuber HugoDécrypte during COVID-19 quarantine in France. For this, we used the YouTube API, which allows the automatic collection of data and meta-data of videos. We have identified the main topics addressed in the comments of the videos and assessed their polarity. Our results provide insights on topics trends over the course of the quarantine and highlight users sentiment towards on-going events. The method can be expanded to large video sets to automatically analyse high amount of user-produced data.


Author(s):  
Naoki Shirakura ◽  
Takuya Kiyokawa ◽  
Hikaru Kumamoto ◽  
Jun Takamatsu ◽  
Tsukasa Ogasawara

Sign in / Sign up

Export Citation Format

Share Document