Szczegóły publikacji
Opis bibliograficzny
The application of machine learning in sentiment analysis of social media and e-commerce: a review of methods and techniques / Agata NAWROCKA, Marcin NAWROCKI, Andrzej KOT, Marcin Słychan // W: 2025 26th International Carpathian Control Conference (ICCC) [Dokument elektroniczny] : 19-21 May 2025, Starý Smokovec, Slovakia : proceedings. — Wersja do Windows. — Dane tekstowe. — Piscataway : IEEE, cop. 2025. — Dod. ISBN: 979-8-3315-0126-6, 979-8-3315-0128-0. — e-ISBN: 979-8-3315-0127-3. — S. [1-4]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [4], Abstr. — Publikacja dostępna online od: 2025-06-10
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 160610 |
|---|---|
| Data dodania do BaDAP | 2025-06-24 |
| Tekst źródłowy | URL |
| DOI | 10.1109/ICCC65605.2025.11022793 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract
The paper describes the application of machine learning for sentiment analysis in the context of social media and e-commerce. It presents a literature review and an overview of available sentiment analysis methods, such as sentiment classification, the use of lexicons, machine learning methods (e.g., SVM, decision trees), and word embedding techniques. Both traditional approaches and modern solutions based on deep learning are thoroughly discussed.In the practical part of the thesis, sentiment analysis was conducted on data collected from social media platforms such as Twitter and Reddit. Various machine learning algorithms were utilized, and the model's behavior was analyzed based on different activation functions.
