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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.

Kemahiran: Kecerdasan Buatan, Pembelajaran Mesin, Bahasa Semulajadi, Python, Penulisan Teknikal

Lihat lebih lanjut: 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

Tentang Majikan:
( 1 ulasan ) Kuala Lumpur, Malaysia

ID Projek: #14831834

2 pekerja bebas membida secara purata RM900 untuk pekerjaan ini

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 Lagi

RM800 MYR dalam 3 hari
(44 Ulasan)
6.2
RM1000 MYR dalam 3 hari
(17 Ulasan)
4.5