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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.

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: #14831834

2 freelancere byder i gennemsnit RM900 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

RM800 MYR in 3 dage
(44 bedømmelser)
6.2
RM1000 MYR in 3 dage
(17 bedømmelser)
4.5