  The severe outbreak of Covid-19 pandemic has affected many countries across
the world, and disrupted the day to day activities of many people. During such
outbreaks, understanding the emotional state of citizens of a country could be
of interest to various organizations to carry out tasks and to take necessary
measures. Several studies have been performed on data available on various
social media platforms and websites to understand the emotions of people
against many events, inclusive of Covid-19, across the world. Twitter and other
social media platforms have been bridging the gap between the citizens and
government in various countries and are of more prominence in India. Sentiment
Analysis of posts on twitter is observed to accurately reveal the sentiments.
Analysing real time posts on twitter in India during Covid-19, could help in
identifying the mood of the nation. However, most of the existing studies
related to Covid-19, on twitter and other social media platforms are performed
on data posted during a specific interval. We are not aware of any research
that identifies emotional state of India on a daily basis. Hence, we present a
web portal that aims to display mood of India during Covid-19, based on real
time twitter data. This portal also enables users to select date range,
specific date and state in India to display mood of people belonging to the
specified region, on the specified date or during the specified date range.
Also, the number of Covid-19 cases and mood of people at specific cities and
states on specific dates is visualized on the country map. As of May 6 2020,
the web portal has about 194370 tweets, and each of these tweets are classified
into seven categories that include six basic emotions and a neutral category. A
list of Trigger Events are also specified, to allow users to view the mood of
India on specific events happening in the country during Covid-19.
