al Shakoush, Mohammad (2023) Sentiment Analysis For Predicting Cost Management Actions Related To Changes In Infrastructure-as-Code (IaC) Artifacts. Bachelor's Thesis, Computing Science.
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Abstract
Thesis is under embargo until 01 Feb 2024.
Item Type: | Thesis (Bachelor's Thesis) |
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Supervisor name: | Andrikopoulos, V. and Feitosa, D. |
Degree programme: | Computing Science |
Thesis type: | Bachelor's Thesis |
Language: | English |
Date Deposited: | 07 Aug 2023 07:36 |
Last Modified: | 15 Feb 2024 14:36 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/31081 |
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