Use Twitter Social Media Data in Python - An Introduction
You can access twitter social media data using the twitter API automatically in Python. Learn about the basics of downloading twitter data using open source Python.
last updated: 11 Sep 2020
Humans are an important component of Earth Systems. Social media data, like twitter, can be integrated with earth science data to help you better understand the impacts that humans have on our environment, how humans are impacted by environmental change and how humans feel about these impacts. Learn how to use the R
programming language to analyze Twitter data and address earth science questions. Check back for Python
lessons!
You can access twitter social media data using the twitter API automatically in Python. Learn about the basics of downloading twitter data using open source Python.
last updated: 11 Sep 2020
Learn how to perform a basic sentiment analysis using the tidytext package in R.
last updated: 03 Sep 2019
This lesson provides an example of modularizing code in R.
last updated: 03 Sep 2019
This lesson provides an example of modularizing code in R.
last updated: 03 Sep 2019
Text mining is used to extract useful information from text - such as Tweets. Learn how to use the Tidytext package in R to analyze twitter data.
last updated: 03 Sep 2019
You can use the Twitter RESTful API to access data about Twitter users and tweets. Learn how to use rtweet to download and analyze twitter social media data in R.
last updated: 13 Mar 2020
This lesson will discuss some of the challenges associated with working with social media data in science. These challenges include working with non standard text, large volumes of data, API limitations, and geolocation issues.
last updated: 30 Mar 2020