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Natural language processing / fuzzy search

You have two things that your software has to match: 1st = one table with one column containing a free text description with the 2nd = one big database where some key parts of the input description are spreaded over many columns.

The project scope is to match the free text description from 1st to the 2nd db (over 2 milions records) and return the article number from the DB. (see the test cases)

See the picture attached.

You may choose the technology and the platform to develop it.

I need an approach similar to this one:

[login to view URL]

Your algorithm/program will get as input a description from a table and will look for for the matching record in a database with a structure as example in the uploaded excel. INPUT column is what your algorithm will get as input and the OUTPUT column is the result that your algorithm must deliver after finding the matching record from the DB.

Kemahiran: Algoritma, Kecerdasan Buatan, Python, SQL

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Tentang Majikan:
( 11 ulasan ) Zug, Switzerland

ID Projek: #19758967

Dianugerahkan kepada:

limillion819

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€15 EUR / jam
(14 Ulasan)
5.5

46 pekerja bebas membida secara purata €18/jam untuk pekerjaan ini

liangjongai

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€20 EUR / jam
(185 Ulasan)
7.2
zhangyingtai

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(113 Ulasan)
7.5
bianyunzhi95

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(64 Ulasan)
6.9
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6.7
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6.2
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6.2
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(26 Ulasan)
5.9
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4.9
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5.0
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muller1998926

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