Text Mining Twitter, a STATISTICA Case Study
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Text Mining Twitter, a STATISTICA Case Study

        

Text Mining Twitter, a STATISTICA Case Study

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Social media analysis is growing area of study. In this case study, we will look at how STATISTICA Text Miner was used to analyze buzz on Twitter and continually track and monitor it. The tools helped to uncover trends and then to find the root cause of those trends. In monitoring of overall sentiment, automatic alerts when sentiment starts to change proved to be very beneficial.
Material Type: Tutorial
Technical Format: Video
Date Added to MERLOT: June 11, 2012
Date Modified in MERLOT: June 11, 2012
Author:
Keywords: Twitter Social Media Analytics Statistical Analysis Histogram Followers Following

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  • Reviewed by members of Editorial board for inclusion in MERLOT.
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About

Primary Audience: College General Ed, College Upper Division, Professional
Mobile Compatibility: Not specified at this time
Technical Requirements:  
Language: English
Cost Involved: unsure
Source Code Available: unsure
Accessiblity Information Available: unsure
Creative Commons: unsure

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