Vashisht, Rohit. Identification of peak hour and active member on WhatsApp group using python. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Identification of peak hour and active member on WhatsApp group using python
Abstract:
As the internet came out of its infancy, the need
for human conversation came out as the next part of its
evolution process. With the rise of social media starting
especially with the advent of Facebook, human interaction over
the internet became instantaneous and smooth. One more
addition to this was the development of WhatsApp, which was
eventually bought by Facebook. This is a tool that analyses
WhatsApp group user data to draw conclusions from it,
presenting in the form of an easily understandable graphical
representation. It is written in python using Jupiter notebook
as a base format for writing the code, along with the use of
some external libraries, matplot libraries (for plotting the
graphs), and json (to read the json file for telegram group
data). This project is coded with the help of a popular and
open-source code editor VS Code by Microsoft. As support to
increase openness of the mega-corporations over the data
policy, the code of the project is made open source, which can
be found at (github.com) to enhance the peer review process
and also to increase collaboration among the community, also
it will help anyone if he/she wants to take a look at how the
data is processed
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2024-05-14
Issued:
2024-05-14
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT 2022) (pp.174-177). Los Alamitos, CA : IEEE Computer Society