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The site shows example sentences for English words. How the word or phrase could be used in a sentence?
" ... COVID has made existing shifts in consumer undercurrents more visible and exposed the operational weaknesses some companies didn’t suspect even existed. Some took good notice and have responded with the urgency to transform, or in some ways reinforce, the brand experience as people are spending more time browsing, exploring, and consuming from home. ... "
" ... Computerized sentiment analysis can help quantify those latent undercurrents, allowing us to calculate the intensity of various emotions found in an article. ... "
" ... The undercurrents of bias are omnipresent. That river of sewage bubbles up to the surface from time to time and that occasion happened yesterday. I was alerted to a post on LinkedIn: “This is really disappointing. Famous and successful marketer uses platform to call out a marketer by name, severely critiques the work. Hundreds of people like the post and gloat over the mistakes.” What’s the problem here? It’s not about gender, race, or age; it’s about bias — bias that is so deep-rooted, so common, so normalized that hardly anyone even notices. Others even celebrate it and pile on. ... "
" ... We typically think about the news we consume each day in terms of the factual information it relays, rather than the emotional undercurrents captured in its specific word choices. Was a story a “fraudulent scandal” or the more clinical “accounting error?” Is a company “teetering on imminent bankruptcy” or “experiencing liquidity concerns?” Did a political leader “blatantly lie” or merely “inadvertently misspeak?” As objective as journalists seek to be, the specific word choices they make in recounting daily events encode an incredible wealth of emotional and narrative insights that our conscious attention often overlooks, but which can affect how we understand the events described within. Translating the audiovisual world of television news into textual closed captioning, aggregating that captioning into non-consumptive ngrams and then applying sentiment mining to those word histograms can allow us to explore the narrative undercurrents of television in entirely new ways. ... "