NEWNORMAL: UNDERSTANDING PUBLIC TWEETS ON LIVING IN THE NEW NORMAL


Jen Aviciel B. Casillano, Niel Francis B. Casillano
Instructor, Eastern Samar State university
Abstract
This research primarily aimed to determine the sentiments of twitter users towards living in the new normal. A total of 786 tweets were collected using the twitter widget of Orange data mining software. Data mining techniques specifically word cloud generation and sentiment analysis were employed to reveal the general sentiments of twitter users. The world cloud showed that the most prevalent words in the collection of tweets were: new normal, covid-19, travel, precautions, pandemic, office, travel, safe, workplace, people, remote work, wfh, digital and workplace. These words were the most used words in the tweets of online users talking about living in the new normal. The sentiment analysis revealed a compound sentiment score of 0.13 which implies that the general sentiment of tweets of online users towards living in the new normal is positive.
Keywords: Sentiment analysis, Word Cloud, Twitter, Tweet, New Normal
Journal Name :
EPRA International Journal of Multidisciplinary Research (IJMR)

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Published on : 2021-12-10

Vol : 7
Issue : 12
Month : December
Year : 2021
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