Tags » Natural Language Understanding

Surveys: Time for a major upgrade

This article was originally published by Customer Experience Magazine on February 8, 2017. It was written by Eric Pendleton, our awesome Product Training Manager. You can read the original article… 781 more words

Natural Language Understanding

When "wicked" means "good": Why you shouldn't ignore dialects and cultural differences in your text data

Pop quiz! The definition of the word “wicked” is:

  1. evil or morally wrong
  2. really, very
  3. great
  4. all of the above
  5. none of the above

If you answered “4,” you just earned yourself a virtual high five. 533 more words

Natural Language Understanding

Conducting analyses in a changing science landscape

This week’s blog post was written by Cassie Johnson, Vice President of Customer Success and Services at Luminoso.

My colleague Dmitry Grenader recently wrote an… 898 more words

Natural Language Understanding

[Report] The reality of artificial intelligence

You can download the report here.

What impact is artificial intelligence (AI) and unstructured data having in the age of connected intelligence?

Forrester, one of the most influential research and advisory firms in the world, believes that 25 percent of job tasks in the world will be impacted by AI in some fashion within the next three years.  122 more words

Natural Language Understanding

Oscars, meet science: Luminoso predicts the Best Picture winner

Click here to read Variety’s coverage of this analysis.

This year’s Golden Globes have come and gone (the glamour! the speeches! the surprise kisses!), but Oscar season is almost upon us. 692 more words

Natural Language Understanding

[Case Study] How C Space used Luminoso to find key themes in caregiver feedback

New case study: How C Space used Luminoso to find key insights in caregiver data

C Space, a customer agency and Luminoso partner, manages online communities which their Fortune 500 clients tap into to learn more about their customers and drive growth. 193 more words

Natural Language Understanding