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Evaluation for Teachers Ability and Forecasting Student Career
http://hdl.handle.net/20.500.12678/0000007433
http://hdl.handle.net/20.500.12678/000000743331b0ee71-b03d-4840-80ac-fd86f96b378c
327d6027-796c-4704-8fa7-cdc1d3aca59d
Name / File | License | Actions |
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Publication type | ||||||
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Journal article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Evaluation for Teachers Ability and Forecasting Student Career | |||||
Language | en | |||||
Publication date | 2018-03-13 | |||||
Authors | ||||||
Zun Hlaing Moe | ||||||
Thida San | ||||||
Hlaing May Tin | ||||||
Nan Yu Hlaing | ||||||
Mie Mie Tin | ||||||
Description | ||||||
The system analyzes the teacher’s ability by using Sentiment Analysis which is known as Opinion Mining technique. Student career forecast is based on predictive analytic. It comprises of a variety of techniques that predict future outcomes based on historical and current data. | ||||||
Keywords | ||||||
Big data; mining; sentiment analysis; predictive analytic; career; ability; grade | ||||||
Journal articles | ||||||
"2019 Spinger Journal" ISBN_978_981_13_0868_0 | ||||||
26 | ||||||
744 |