MINING POSTS AND COMMENTS FROM ONLINE SOCIAL NETWORKS
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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.
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