Wordcloud with Twitter hashtags: Project Overview

• Code that returns a wordcloud of a specific Twitter topic or hashtag.
• Scraped tweets from Twitter API using rtweet package.
• Text analytics.
• Created a wordcloud with the most frequent words of the hashtag.

Code and Resources Used

R Version: 3.6.3 Packages: rtweet, tidyverse, tm, stringr, wordcloud2

Web Scraping

Scraped tweets from Twitter’s API using rtweet package.

• #datascience
• #covidvaccine

Text Analytics

After scraping the data, a function to clean and manipulate the tweets was used based on Text Mining (tm) and stringr packages. The question marks, punctuation, numbers and most common words of a language were removed. A DataFrame with the words and their frequency was returned. This function also permitted to build a wordcloud graphic using wordcloud2.

Displaying Data

A wordcloud with the most frequent words was constructed.

#datascience

It is observed that there was strong association between BigData, Analytics, Deeplearning, IoT, Python, Javascript, as expected.

#covidvaccine

Tweets citing #covidvaccine have been returned covering the period between 22 July 2021 and 28 July 2021. People associated words like health, dose, free, delta variant and availability with covid vaccines. The most mentioned vaccines in decreased order were: Pfizer, Covishield, Covaxin, Sputnik V, Moderna and AstraZeneca.