Manual Rules for Text Analytics: Why They Often Miss the Mark (Part 2/5) Paid Members Public
Manual rules are a popular text analytics approach, but they have significant flaws. Discover why they struggle with multiple meanings, sentiment, and evolving language.
Word Spotting for Text Analytics: Quick & Dirty (But When Does It Fail?) (Part 1/5) Paid Members Public
Is 'word spotting' a valid text analytics method? Learn its pros, cons, and when it's actually useful (hint: rarely for serious insights). Discover better alternatives.
What makes a Scotch top notch? - Thematic analyzes 1000 tasting notes of distilled spirits Paid Members Public
Like most Ukrainians, my dad is a spirits aficionado. One of his favorite things to do while drinking is to read the tasting notes printed on the labels of cognac or whisky bottles. Believe it or not, but this was how I often practiced my beginners English after school: translating
4 steps to customer survey design – everything you need to know Paid Members Public
Discover everything you need to know about customer survey design, from planning out your survey questions through to analyzing the results.
3 tips for getting started with natural language understanding (NLU) Paid Members Public
What makes a cartoon caption funny? As one algorithm found: a simple readable sentence, a negation, and a pronoun—but not “he” or “she.” The algorithm went on to pick the funniest captions for thousands of the New Yorker’s cartoons, and in most cases, it matched the intuition of
Why US airlines rank best or worst, according to passengers Paid Members Public
Last week, ThePointsGuy [https://thepointsguy.com/] published the 2018 “The Best And Worst Airlines In America” [https://thepointsguy.com/guide/best-and-worst-airlines-2018/]. According to Forbes’ interview [https://www.forbes.com/sites/laurabegleybloom/2018/03/06/ranked-the-best-and-worst-airlines-in-america/#441650c5e953] with Brian Kelly, the author of the report, 9 airlines were reviewed using 10
12 big mistakes when collecting and analyzing customer feedback Paid Members Public
Are you getting the most out of your customer feedback? How can you ensure your feedback will transfer to solid actionable insights that make a difference to your business? Here, we share some common mistakes we’ve seen companies do when collating and analyzing feedback – make sure you’re not
What we learned from analyzing 350K customer reviews of major fashion brands Paid Members Public
We analyzed 350K customer reviews of several high profile fashion brands to discover insights and learn how they're perceived by the public.