Twitter data contains a bunch of information parameters. Sometimes, the data contain unnecessary things that need to be cleaned, such as unnecessary characters, links, newlines, and other kinds of stuff. In this article, I’m going to show you how to clean Twitter data using the python programming language.
-
Notifications
You must be signed in to change notification settings - Fork 0
Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.
harmanveer-2546/Tweets-Cleaning-with-Python
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published