Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 11, Issue 3


Published
on


Pages

1018-1030


DOI

Article

Mining Posts and Comments from Online Social Networks


Authors

Jongoni Srikant Affiliation:
Research Scholar, ShriJagdishprasadJhabarmalTibrewala University, Jhunjhunu, Rajasthan
, Prasadu Peddi Affiliation:
Assistant Professor, Dept of CSE, ShriJagdishprasadJhabarmalTibrewala University, Jhunjhunu, Rajasthan
and M. Laxmaiah Affiliation:
Professor, Dept of CSE and III Cell Head, CMR Engineering College, Kandlakoya, Hyderabad, Telangana


Abstract

The comment thread as well as article extraction from newspaper's web pages are performed by Python scripts. One script will extract the newspaper article as well as another script that extracts comments related with the story. A comprehensive outline of the steps to be followed during the extraction process is provided. Newspaper websites are dynamic websites in that they collect content from multiple sources. They employ scripts that carry out functions like database information articles, comments on articles hyperlinks to other news sites, links to different news categories or topics as well as. They also populate the page with information from various sources now of visualization. The extraction of posts and comment threads of Web social media (YouTube as well as Facebook) is accomplished with two free online tools. An in-depth description of the steps to follow during the extraction process is presented in this paper.


Keywords

Social Media, Facebook, Youtube, Extractor, Tokenization and stemming


Citation

Srikant, J., Peddi, P., & Laxmaiah, M. (2020). Mining posts and comments from online social networks. Turkish Journal of Computer and Mathematics Education, 11(3), 1018–1030.

Published by: Engineering Journals

Engineering Journals Logo