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Natural Language Understanding and cURL Programmer Needed

I need a program that will leverage the Keyword data from IBM's Watson Natural Language Understanding AI.

Input will be the top 30 URLs that rank on Google for a specific keyword phrase. For example, "apple pie recipe."

Output number 1:

A list of keyword phrases with at least a 0.3 Keyword Relevance score. These words will be sorted in order of frequency.

I am not a programmer, but I used the text analysis sandbox to run a list of URLs that rank for the keyword "apple pie recipe" on Google.

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I copied all the Keywords data from the Extraction tab, via the sandbox, into a spreadsheet. I then ran it through a simple online word frequency calculator. That gave me a basic list of phrases with the highest frequency.

I have attached two spreadsheets (keywords-watson & keyword-density) to give you a good starting off point of what I am wanting to accomplish. The first has the Keywords, Relevance Scores, and URLs from where the KWs came from. The second has the results of the online word frequency calculator that I dropped all the Keywords into.

Output number 2:

A list of the top 30 URLs for the keyword phrase with the...

-Number of words on the web page

-Content score (0-100 scale converted to letter grade)

The content score is going to come from a basic algorithm calculating the percentage of words from Output 1 that were used in that particular website URL. I have attached a report for the top 30 URLs that show up in Google for "apple pie recipe." This report comes from a working program that uses the same data from Watson's NLU. The goal here is to create a simple algorithm that will get scores similar to the scores on this report.

Here are the customization coding docs for Watson's NLU:

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Compétences : Langage Naturel, Machine Learning (ML)

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Concernant l'employeur :
( 0 commentaires ) Spring, United States

Nº du projet : #27366182

11 freelance font une offre moyenne de $38/heure pour ce travail

russel2102

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5.6
vorasiddh4it

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4.3
helmot

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3.9
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omanasoft

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Fingertipinfo

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