Tuntufye4/covid_tweets_MW

scrapped some covid tweets from some cities in Malawi # Extracting Malawi Covid-19 Tweets ## Objectives The aim of this task is to extract covid tweets from Malawi’s main cities and get insight from the data. ## Justification Twitter data is analysed to get People’s views on covid issues. ## Methodology The tweets were extracted by specifying a particular hashtag and location (Malawian cities, within a certain radius) and then saved to a csv file. The sentiment analysis part was based on Polarity and Subjectivity. ### Polarity Polarity is split to Positive, neutral and negative which will help us to draw assumptions or conclusions on the nature of the tweet (For example if there are more Positive covid tweets then there might be fewer covid cases or a lot of recoveries). ### Subjectivity Subjectivity is split to whether a tweet is a fact or an opinion which will help us know if People know covid facts or just assumptions(i.e. covid facts might mean adherence to health advice on covid). The analysis will be displayed in python visuals (Pie-charts).