by Angela Guess
Seth Grimes recently wrote in VentureBeat, “Text, sentiment, and social analytics help you tune in, at scale, to the voice of the customer, patient, public, and market. The technologies are currently being applied in an array of industries ranging from healthcare to finance, media, and consumer markets. They distill business insight from online, social, and enterprise data sources… We could examine each analytics area in isolation, but it’s better to look at the combined impact, as the technologies and applications overlap. Social analyses that neglect sentiment are incomplete, and to get at online, social, and survey sentiment, you really need text analytics. This article, a look-ahead technology and market assessment, surveys high points for the year to come, with a run-down of 10 text, sentiment, and social analytics trends to watch for in 2016.”
Grimes continues, “While English-only analytics holdouts remain, and it’s certainly better to do one language really well than to cover many poorly, machine learning (ML) and machine translation have facilitated the leap to multi-lingual analytics, making it the new norm. But if you do need to work across languages, do some digging: Many providers are strong in core languages but weak in others. Choose carefully… Text analysis capability is a key solution for customer experience, market research, and consumer insights, and for digital analytics and media measurement — and providers are increasingly competing on the merits of their analytics. Build or subscribe: both are viable options. While you could call this trend point quantified qualitative, what really matters is that text analysis is baked into the business solution.”
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