Abstract:
Social-media and blogs are increasingly used for social-communication, an
idea and thought publishing platform. Public intentions, wisdom, problems,
solutions, mental states are shared in social media. Text is being the best and
the most common way to communicate over social networks. All kinds of
data shared in social sites like Facebook, Twitter, and Microblogs. People
from different pursuance uses these media to publish thoughts and convey
messages through text. Consequently, occurrences in social life are rapidly
discussed in social blogs in daily manner. This work aims at discovering
ongoing social crisis from the Twitter data. Text mining technique and
sentiment analysis were applied to detect the current social crisis from the
social sites. Twitter data were collected to identify the recent social crisis.
Furthermore, the identified crisis was compared to reputed newspapers. A
hybrid method used to detect recent social issues resulted nicely. However,
our proposed analysis shows identifying rate 89%, 95%, 83%, 53%, and
98% for the top 5 identified crisis accordingly in the date between 27
February and 11 March 2020. The strategy used in this study for the
detection of recent social crisis will contribute to the social life and findings
of crisis will be eliminated easily.
