We have a list of tags, in an elastic index. Example: Nike, United States of America, Christmas, Trump. Tags could have more than 1 word.
Then, we will receive some text (a sentence or paragraph), and we need to detect some tags in that text. Match is case insensitive, and tags could appear with some mistakes.
The script should response with the tags detected and a score between 0 and 1 (1 = perfect match).
"Nike joyride. Disfrutá tu corrida" -> (Nike, 1)
"The United States doesn't live up to the ideals of Labor Day" -> (United States of America, 0.7)
"Never too early for Chrismas" -> (Christmas, 0.9)
"TRUMP went golfing as Hurricane Dorian threatens US" -> (Trump, 1)
We don't have a formula for the score. It's just an idea. 1 = perfect match. More diffs: lower score.
For a more complete example, you could see this: https://docs.google.com/spreadsheets/d/1bm86cnVerTsMMYx4k7PXUjdf5gZC3JkwAUuFhphLcRw/edit#gid=0
In the first sheet, you have a list of tags. In the second sheet, you have example of texts, and the tags found with an example score.
Remember: tags are stored in elasticsearch.
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Hello, Sir. I am so happy for this chance to give us this opportunity to work with you in your project. I will do your project as the following step 1. load tags and paragraphs, then split the paragraphs into words(tag Plus
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Hi, I am expert in python. Sure, I will Find tags in text as per your needs. I am waiting your good response Thanks Shikha