Σχεδιασμός και ανάπτυξη εφαρμογής ηλεκτρονικής διακυβέρνησης για τη βελτίωση της ποιότητας υπηρεσιών
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Keywords
NLP ; Sentiment analysis ; Text classification ; Machine learning ; e-GovernmentAbstract
This work focuses on the use of Natural Language Processing (NLP) and Machine Learning (ML) techniques for text classification and sentiment analysis. The goal is to create an e-governance application for public services. Various machine learning models will be examined for text classification and user sentiment analysis using a dataset consisting of texts related to user reviews across different cases. The models will be trained on this dataset, compared, and the one(s) with the best results will be selected for integration into the application. In conclusion, the application will provide results through charts to monitor public response and detect the mood and needs of citizens, enabling utilization by public services.
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
69Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα