Αναγνώριση παραπλανητικών ειδήσεων με χρήση μηχανικής μάθησης (Bachelor thesis)
Καράδαης, Παναγιώτης
This thesis aims at presenting a solution to the problem of "Fake news" using
machine learning. The problem of "Fake news" and ways of dealing with it both
with conventional ways and methods of mechanical learning is presented. In
addition to that, ways of representing text in vector spaces with word2vec and
GloVe are presented. Finally, the experiments performed using SVM for the
classification on two sets of data and solutions for the above problem are
presented.
Institution and School/Department of submitter: | Σχολή Τεχνολογικών Εφαρμογών / Τμήμα Μηχανικών Πληροφορικής. |
Keywords: | Παραπλανητικές ειδήσεις;Μηχανική μάθηση;Fake news;Machine Learning;Text Analysis;SVM;Word2vec;GloVe 2 |
Description: | Πτυχιακή εργασία -- Σχολή Τεχνολογικών Εφαρμογών -- Τμήμα Μηχανικών Πληροφορικής, 2019 (α/α 10745) |
URI: | http://195.251.240.227/jspui/handle/123456789/14087 |
Appears in Collections: | Πτυχιακές Εργασίες |
Files in This Item:
File | Description | Size | Format | |
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Karadais_Panagiotis.pdf | 923.68 kB | Adobe PDF | View/Open |
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