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Multi-Tier Nested Text Classification Algorithm -- 2

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Fund release will depend on milestones agreed upon.

No initial payment will be released until the first milestone has been delivered.

To create a machine learning algorithm to classify Facebook posts. The algorithm should be able to automatically classify sentiment (positive, negative, neutral), emotion (joy, anger, sadness etc.) and purpose. All three features should fit within one architectural framework.

Further information will only be revealed to interested candidates.

Compétences : Intelligence Artificielle, Apprentissage Automatique, Langage Naturel, Python, Rédaction Technique

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Concernant l'employeur :
( 1 commentaire ) Kuala Lumpur, Malaysia

N° du projet : #14831981

Décerné à :

mostafamokhles

A proposal has not yet been provided

206 $ USD en 20 jours
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7 freelance ont fait une offre moyenne de 233 $ pour ce travail

richardnguyen46

-----------------------------Machine Learning Expert & Pro Python Developer! Best Result in Time!---------------------- Relevant Skills and Experience Dear sir. I read your project description very carefully. I've rea Plus

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aki003iitr

My profile is as follows:- 4 years of experience in data [url removed, login to view] science and analytics professional with excellent coding skills in R and Python .  - Proficient in R, Python, SQL,Matlab ; Hands on experience Plus

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MetaoriginLab

We are a Team of Technical Consultants and Data Engineers having healthy experience into Big Data technologies,IOT/Cloud/AWS and Python/AI+Machine Learning. The Dynamic force has qualified engineers having expertise in Plus

275 $ USD en 5 jours
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