RapidMiner, an open source big data analytics platform that ranks as a leader in Gartner IT -0.32%’s Magic Quadrant, now offers text analysis by AYLIEN, a specialist in natural language processing and text analysis.
With this extension, RapidMiner users will have the capabilities to leverage unstructured data sources like Tweets, social comments, reviews and even news articles and blogs in their data analytic projects with great ease and with no prior domain expertise necessary.
“This shows the benefits of RapidMiner’s open architecture,” said Ingo Mierswa, a founder who is now the company’s chief technology officer. RapidMiner had a statistical approach to text, which provides a certain value.
“On the other hand, to become really good you need to understand what the text is about,” including being able to understand irony or double negatives.
“AYLIEN focused on coming closer to human understanding, a linguistic approach rather than just statistical…they took all those complex algorithms and made them available as a Web service to developers.”
The AYLIEN extension for RapidMiner was announced at RapidMiner Wisdom, the annual RapidMiner conference, at the beginning of September.
“It was almost coming out of the blue, which is the great thing in open source,” said Mierswa. “They presented this extension and I thought that was very, very powerful, so we discussed a partnership. That’s the whole idea of this open source community where people are doing something cool and innovative and you can plug it in.”
Within a few days of AYLIEN’s release its tool was downloaded thousands of times, he added, offering an example of how textual analysis and statistical analysis together can produce better results.
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