Sentiment Analysis of Public Opinions on the McDonald's Boycott Movement Using CNN and Word2Vec Feature Extraction - Dalam bentuk buku karya ilmiah

JOSUA PANE

Informasi Umum

Kode

25.04.532

Klasifikasi

000 - General Works

Jenis

Karya Ilmiah - Skripsi (S1) - Reference

Subjek

Natural Language Processing (nlp)

Dilihat

183 kali

Informasi Lainnya

Abstraksi

McDonald’s has been the subject of a global boycott movement due to the company’s assumed approach and behavior amid the geopolitical tension in the Middle East. During this time, implementing sentiment analysis becomes crucial for McDonald's to understand public perception and monitor brand reputation across social media platforms. Although sentiment analysis has been utilized to examine boycott campaigns broadly, current research predominantly utilizes singular model architectures. It fails to provide a targeted analysis of the effects on individual brands. Moreover, previous research has primarily concentrated on English-language content, resulting in a deficiency in comprehending sentiment patterns within varied linguistic environments. Therefore, this study presents a comprehensive evaluation of deep learning and traditional machine learning approaches for classification, comparing the performance of a Convolutional Neural Network (CNN) with Support Vector Machines (SVM) implementing different kernel fun