Textio for Text Analysis
December 17, 2015
I read “Textio, A Startup That Analyzes Text Performance, Raises $8M.” The write up reported:
Textio recognizes more than 60,000 phrases with its predictive technology, Snyder [Textio’s CEO] said, and that data set is changing constantly as it continues to operate. It looks at how words are put together — such as how verb dense a phrase is — and at other syntax-related properties the document may have. All that put together results in a score for the document, based on how likely it is to succeed in whatever the writer set out to do.
The secret sauce bubbles in this passage:
it’s important that it [Textio] feels easy to use — hence the highlighting and dropdown boxes rather than readouts.
Textio’s Web site states:
From e-commerce to real estate to marketing content, Textio was founded on this simple vision: how you write changes who you reach, and using data, we can predict ahead of time how you’re going to do.
The company, according to Crunchbase has received $9.5 million from Emergence Capital Partners and four other firms.
There are a number of companies offering text analysis, but Textio may be one of the few providing user friendly tools to help people write and make sense of the nuances in résumés and similar corpuses. Sophisticated analysis of text is available from a number of vendors.
It is encouraging to me that a sub function of information access is attracting attention as a stand alone service. One of the company’s customers is Microsoft, a firm with home grown text solutions and technologies from Fast Search & Transfer and Powerset, among others sources. Microsoft’s interest in Textio underscores that text processing that works as one hopes is an unmet need.
Stephen E Arnold, December 17, 2015
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