Sentiment Analysis with Five Emotion Categories on YouTube Using Classification Methods
| dc.contributor.author | Cicek, Gulay | |
| dc.contributor.author | Buldag, Nazli | |
| dc.contributor.author | Aydin, Elif | |
| dc.date.accessioned | 2026-01-31T15:08:40Z | |
| dc.date.available | 2026-01-31T15:08:40Z | |
| dc.date.issued | 2025 | |
| dc.department | İstanbul Beykent Üniversitesi | |
| dc.description | 33rd Conference on Signal Processing and Communications Applications-SIU-Annual -- JUN 25-28, 2025 -- Istanbul, TURKIYE | |
| dc.description.abstract | In this study, sentiment analysis was performed by creating a dataset of YouTube comments categorized into five emotion classes. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were used for feature selection, and classification was conducted using machine learning (Logistic Regression, Random Forest) and deep learning (LSTM, CNN, BiLSTM) algorithms. The highest performance was achieved with the LSTM model on PCA-processed data and with the Logistic Regression model on LDA-processed data, reaching 88% accuracy. This study contributes to the literature with its original dataset and a comparative analysis of the effects of PCA and LDA. | |
| dc.description.sponsorship | Institute of Electrical and Electronics Engineers Inc | |
| dc.identifier.doi | 10.1109/SIU66497.2025.11111864 | |
| dc.identifier.isbn | 9798331566562 | |
| dc.identifier.isbn | 9798331566555 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.scopus | 2-s2.0-105015521024 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org./10.1109/SIU66497.2025.11111864 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12662/10722 | |
| dc.identifier.wos | WOS:001575462500068 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | tr | |
| dc.publisher | Ieee | |
| dc.relation.ispartof | 2025 33Rd Signal Processing And Communications Applications Conference, Siu | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WoS_20260128 | |
| dc.subject | Sentiment Analysis | |
| dc.subject | Machine Learning | |
| dc.subject | Deep Learning | |
| dc.subject | YouTube Comments | |
| dc.title | Sentiment Analysis with Five Emotion Categories on YouTube Using Classification Methods | |
| dc.type | Conference Object |
