Content Analysis of Twitter Data related to Trust and Covid-19
Published: 6 April 2022| Version 3 | DOI: 10.17632/9kjr9kj84d.3
This is a public repository of the ongoing research work on ‘Content Analysis of Twitter Data related to Trust and Covid-19’ . For accessing the live streams of tweets , for downloading the existing tweets (hydration) based on the filters and for dehydrating the tweeter data twac tool, twitter api , tweepy libraries were utilized. The python code consists of two notebooks for the said purposes. it includes Master Data (Tweeter Data ) notebook having data cleaning function.The cleaning of the tweeter data include removal of emojis, unwanted characters and symbols , image links and other unwanted objects.
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