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Real-time Insights from Social Media Data
Learn to analyze Twitter data and do a deep dive into a hot trend.
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Project Description
Fear of missing out, curiosity, self-esteem, speed: it's like social media has changed our basic human needs; these baits are keeping us hooked and engaged. And Twitter is a master at this game. Elon Musk's tweets keep Wall Street on its toes; Trump's tweets have the potential of starting wars — Twitter has this huge influence on the world because of the type of its users. Data from Twitter-storms is available in near real-time. This means we can learn about the big waves of thoughts and moods around the world as they arise. So of course, we are not going to miss the chance to analyze this treasure trove.
In this Project, you will use pre-downloaded datasets to understand the nuts and bolts of Twitter Data. In particular, you will do a thorough analysis of a hot-trend.
Warning: Some of the tweets in the Twitter datasets contain explicit language.
Project Tasks
- 1Local and global thought patterns
- 2Prettifying the output
- 3Finding common trends
- 4Exploring the hot trend
- 5Digging deeper
- 6Frequency analysis
- 7Activity around the trend
- 8A table that speaks a 1000 words
- 9Analyzing used languages
- 10Final thoughts
Technologies
Python
Prerequisites
Analyzing Social Media Data in PythonSamia Khalid
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Senior Software Engineer at Microsoft
Samia is a Sr. Applied AI Engineer at Microsoft. She is working with large-scale distributed systems to power new intelligent experiences in Office 365 and Outlook. She believes that learning should be easy, fun and intuitive. Seeing the challenges faced by her friends and colleagues in learning data science and machine learning led her to start her own machine learning blog as well (towardsml.com). She is passionate about education and sharing what she learns to pave the way for others.