Mining the Social Web - Twitter
Mining the Social Web - Twitter
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 40M | 360 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 40M | 360 MB
Genre: eLearning | Language: English
Interested in tapping into Twitter data so you can discover what's trending, what people are talking about, and what feelings are being expressed in people's tweets? This course teaches you how to use a powerful set of tools that will allow you to acquire, analyze, and summarize Twitter data.
You'll learn the meanings within Twitter's metadata, explore the data mining techniques of frequency analysis and sentiment, and gain experience using Python as a data mining tool. Learners should be familiar with Jupyter Notebooks and be able to install Python packages on their own using the command line.
Learn how to interpret the metadata that accompanies every Tweet
Master the ability to connect to the Twitter API using Python
Acquire real life experience using Python for data mining
Understand how to perform a frequency analysis of different words, users, or hashtags
Learn to measure the emotional tone of Tweets by performing a sentiment analysis
Gain experience downloading live Twitter datastreams and analyzing them for trends
Mining the Social Web - Twitter
