Multi-Tier Nested Text Classification Algorithm

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.

Skills required:

Python Machine Learning Artificial Intelligence Natural Language Programming Research Writing Data Processing Technical Writing Software Development Database Programming

Details of architecture will be revealed to interested parties only.

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

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Om arbejdsgiveren:
( 1 bedømmelse ) Kuala Lumpur, Malaysia

Projekt ID: #14831834

2 freelancere byder i gennemsnit RM900 på dette job


-----------------------------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 Flere

RM800 MYR in 3 dage
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