id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-138978-hfmgc5ve	Venigalla, Akhila Sri Manasa	Mood of India During Covid-19 -- An Interactive Web Portal Based on Emotion Analysis of Twitter Data	2020-05-06		.txt	text/plain	4508	252	59	The tweets posted on twitter related to Covid-19 are analysed and classified into one of the seven categories that include six emotions -Anger, Sadness, Happiness, Surprise, Fear and Disgust [Ekman (1992) ], and Neutral category, which are visualized on India Map based on the location from which the tweets have been posted. When the portal is visited on any specific day, emotions of the country from 14 March,2020 to the present day are loaded by default based on twitter data during the range, as shown in Figure 2 Table 2 depicts the number of tweets classified into each of the seven categories, for every state and union territory of India, along with Covid-19 statistics in the corresponding regions during March 14, 2020 to May 6, 2020. Considering the importance of understanding public emotions and the affects on psychological state of people during a crisis, in this paper, we present a web portal to identify the mood of India during the current Covid-19 pandemic.	./cache/cord-138978-hfmgc5ve.txt	./txt/cord-138978-hfmgc5ve.txt