Find tags in text

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)

Навички: Python, Elasticsearch, Природна мова

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Про роботодавця:
( 4 відгуки(-ів) ) Cordoba, Argentina

ID Проекту: #21085944

25 фрілансерів(-и) у середньому готові виконати цю роботу за $139


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$140 USD за 7 дні(-в)
(45 відгуків(и))

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(30 відгуків(и))

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$200 USD за 7 дні(-в)
(36 відгуків(и))

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$120 USD за 3 дні(-в)
(24 відгуків(и))

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(29 відгуків(и))

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(15 відгуків(и))

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$70 USD за 4 дні(-в)
(13 відгуків(и))

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$140 USD за 2 дні(-в)
(14 відгуків(и))

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(18 відгуків(и))

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$140 USD за 1 день
(16 відгуків(и))

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$100 USD за 7 дні(-в)
(14 відгуків(и))

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$140 USD за 7 дні(-в)
(7 відгуків(и))

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(16 відгуків(и))

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(2 відгуків(и))

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(1 відгук)

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(0 відгуків(и))

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(0 відгуків(и))

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(0 відгуків(и))

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$140 USD за 7 дні(-в)
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