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Berkeley ISchool: Analyzing Big Data with Twitter - Lecture 1

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Berkeley ISchool: Analyzing Big Data with Twitter - Lecture 1

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This is the first lecture in Berkeley ISchool's series on using Twitter (and other tools) in big data analytics:

In this course, UC Berkeley professors and Twitter engineers will lecture on the most cutting-edge algorithms and software tools for data analytics as applied to Twitter microblog data. Topics will include applied natural language processing algorithms such as sentiment analysis, large scale anomaly detection, real-time search, information diffusion and outbreak detection, trend detection in social streams, recommendation algorithms, and advanced frameworks for distributed computing. Social science perspectives on analyzing social media will also be covered.

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Published at DZone with permission of Eric Gregory. See the original article here.

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