Python Tutorial: Analyzing Twitter data
Skills:
Python for Data80%
Key Takeaways
This video tutorial by DataCamp covers analyzing Twitter data using Python, including collecting Twitter data, processing Twitter text, analyzing Twitter networks, and mapping Twitter data geographically. The tutorial utilizes Python and its libraries to demonstrate these concepts.
Full Transcript
welcome to analyzing social media data with Python I'm Alex Hannah and I'm a computational social scientist in this course we're going to analyze Twitter data using Python there are millions of tweets created every day from across the entire world in many different languages in this course we're going to learn how to collect Twitter data how to process Twitter text how to analyze Twitter networks and how to map Twitter data geographically let's get started Twitter is one of the largest social networking sites in operation right now while Twitter is far from a comprehensive record of the public conversation it can help to provide insight into popular trends an important cultural and political moments if you're a data scientist in industry analyzing Twitter can be used for tasks such as marketing or product analysis if you're a computational social scientist Twitter can be used as a measure of public opinion on important political or social topics Twitter data has been used to analyze political polarization public opinion of world leaders and the spread of protest movements of course you can't access all of what happens on Twitter it may seem obvious to say but you can only collect information on what people say not who is watching passively Twitter collects data on this internally but doesn't release it for analysis if you're looking to use free tools for doing your analysis you're also limited in two important ways first you can't collect data from the past if you wanted data on your company from one year ago and you didn't collect it at the time you're out of luck second Twitter only offers a sample of their data for free what they say is a 1% sample however a 1% sample of Twitter is still on the order of a few million tweets a day in each of those tweets you get a lot of information the text of the tweet user profile information like the number of followers and follow either user has geolocation and other extras you also get all of that information for retweets and quoted tweets we'll get into how to access all of that information in a second let's review what you can do with Twitter data
Original Description
Want to learn more? Take the full course at https://learn.datacamp.com/courses/analyzing-social-media-data-in-python at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work.
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Welcome to analyzing social media data with Python. I'm Alex Hanna and I work at Google. In this class, we're going to analyze Twitter data using Python. There are millions of tweets created every day from across the entire world, in many different languages. In this class, we're going to learn how to collect Twitter data, how to process Twitter text, how to analyze Twitter networks, and how to map Twitter data geographically. Let's get started!
Twitter is one of the largest social networking sites in operation right now. While Twitter is far from a comprehensive record of the public conversation, it can help to provide insight into popular trends and important cultural and political moments. If you're a data scientist in industry, analyzing Twitter can be used for tasks such as marketing or product analysis.
If you're a computational social scientist, Twitter can be used as a measure of public opinion on important political or social topics. Twitter data has been used to analyze political polarization, public opinion of world leaders, and the spread of protest movements.
Of course, you can't access all of what happens on Twitter. It may seem obvious to say, but you can only collect information on what people say, not who is watching passively. Twitter collects data on this internally but doesn't release it for analysis. If you're looking to use free tools for doing your analysis, you're also limited in two important ways. First, you can't collect data from the past. If you wanted data on your company from one year ago and you didn't collect it at the time, you're out of luck. Second, Twitter only offers a sample of their data for free, what they say is a 1% sample.
However, a 1% sample of Twitter is still on the order of a few milli
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