Other Bluemix services could also be used with the Twitter data, Schaeck said. It could be analyzed with the R statistical programming language, and the results could be presented on a Web page using the Node.js runtime and the D3.js visualization library.
IBM has also incorporated Twitter data into Watson Analytics. This cloud based analysis service could, for instance, determine if a user or a topic on Twitter is regarded by the public in a largely positive light or in a largely negative light, or with ambivalence.
A company could use such sentiment analysis, as it is called, to monitor the popularity and likability of its brands, Hunt said.
Organizations could derive much useful information organizations from Twitter, said Donnie Berkholz, senior analyst for IT research firm Red Monk, who was in the audience.
Berkholz himself analyses Twitter data for work, often looking for trends around IT conferences and product announcements.
Analyzing Twitter messages emanating from a 2013 VMworld conference, Berkholz found that the IT practitioners attending the conference were more interested in current product details, whereas the IT "pundits" -- those not directly involved in the maintenance of IT -- were more interested in product roadmaps and other abstract concerns.
Using Twitter data, he said, "could be useful for understanding consumer sentiment."
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