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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.

Habilidades: Inteligência Artificial, Aprendizado de Máquina , Linguagem Natural, Python, Redação técnica

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Acerca do Empregador:
( 1 comentário ) Kuala Lumpur, Malaysia

ID do Projeto: #14831981

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mostafamokhles

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$206 USD em 20 dias
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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 Mais

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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 Mais

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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 Mais

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