Mining the Social Web - Twitter.

[oaxino 4]

 

Mining the Social Web - Twitter

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

 

 

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