Text Analytics News & Articles

Spurred on by an online debate about the distinction between text analytics and semantic content enrichment, I turn in this article to the pressing question: "What does semantic content enrichment mean?" 

For the last few months, we’ve been talking about big data. From social media to customer experience to cloud storage, the enterprise is struggling to manage and leverage copious amounts of data. The real issue for big data isn’t just where to put it all, but rather how to gain access to it when you need it.

Attention all marketers, market researchers, analysts, and the like! If you're in the mood to learn and schmooze in San Francisco's autumnal sunshine, this year's Sentiment Analysis Symposium -- taking place in early November -- features in-depth discussions on sentiment analysis of enterprise, online, and social content. Organized by industry analyst Seth Grimes, the roster includes visionary speakers from Amazon.com, Tata Consulting and TripAdvisor. 

The days of a single, English-only version of your content are quickly coming to an end. Not only do you need to publish your content in multiple languages, your users need to be able to search said multilingual content quickly and accurately.

Forrester (news, site) recently asked how much of what you know about your business ecosystem comes from controlled, structured sources like surveys, product registration forms, customer interviews and market reports? If the answer is "just about everything," then you're leaving a huge amount of data on the table and then tossing it in the trash.

This data is in the form of unstructured content in social media, email, call center notes, help desk tickets, news articles, patent applications, contracts and more. The problem is that even if you want to take all of this data seriously, it's impractical to hire enough people to sort through and classify it.