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Multi-Tier Nested Text Classification Algorithm -- 2

Only experienced people may bid here.

No amount will be increased for this project at any cost.

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.

Færdigheder: Kunstig intelligens, Maskinoplæring, Natursprog, Python, Teknisk Forfatning

Se mere: multi tier application net, text similarity algorithm php, text clustering algorithm, multi tier flowchart, multi tier chart report, oscommerce multi tier membership, multi tier project report, free multi tier flowchart, multi tier mobile service, hibernate multi tier application

Om arbejdsgiveren:
( 1 bedømmelse ) Kuala Lumpur, Malaysia

Projekt-ID: #14831981

Tildelt til:

mostafamokhles

A proposal has not yet been provided

$206 USD in 20 dage
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0.0

7 freelancere byder i gennemsnit $233 for dette job

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 Mere

$250 USD in 3 dage
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6.2
aki003iitr

My profile is as follows:- 4 years of experience in data science.Data science and analytics professional with excellent coding skills in R and Python .  - Proficient in R, Python, SQL,Matlab ; Hands on experience Mere

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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 Mere

$275 USD in 5 dage
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