Analyzing sentiments in social media posts discussing Posti: leveraging OmaPosti feedback and an open source Finnish sentiment dataset.
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URL
Journal Title
Journal ISSN
Volume Title
Perustieteiden korkeakoulu |
Master's thesis
Authors
Date
2023-10-09
Department
Major/Subject
Machine Learning, Data Science and Artificial Intelligence
Mcode
SCI3044
Degree programme
Master’s Programme in Computer, Communication and Information Sciences
Language
en
Pages
62
Series
Description
Supervisor
Juvela, LauriThesis advisor
Ali, Muhammad IrfanKeywords
sentiment analysis, natural language processing, BERT, LSTM, Bi-LSTM, deep learning