An alternative word embedding approach for knowledge representation in online consumers’ reviews

Ekin EKİNCİ, (Sakarya Uygulamalı Bilimler Üniversitesi, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümü, Sakarya, Türkiye)
Sevinç İLHAN OMURCA (Bilgisayar Mühendisliği Bölümü, Mühendislik Fakültesi, Kocaeli Üniversitesi, Kocaeli, Türkiye)
Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi
5 1
Yıl: 2023 Cilt: 29 Sayı: 3 Sayfa Aralığı: 220 - 229 Metin Dili: İngilizce DOI: 10.5505/pajes.2022.10369 İndeks Tarihi: 23-07-2023

An alternative word embedding approach for knowledge representation in online consumers’ reviews

Öz:
Purchasing decisions in e-commerce shopping websites are highly influenced by online reviews. Although online reviews contain fine- grained consumers’ opinions that reflect their preferences towards products; an important challenge, is that the number of online reviews can be very huge for fast and effective analysis. Hence, discovering the thematic structure of documents plays an important role in analyzing online reviews. The proposed system in this paper aims to discover the main consumer interests in online reviews on Turkish e-commerce websites. For this aim, a novel hybrid method combining Latent Dirichlet Allocation (LDA) and word2vec is proposed. Finally, we compare the performance of our work with those of several state-of-the- art baselines on 7 datasets collected from well-known Turkish e- commerce websites. The experimental results show how our proposed approach was able to provide significantly improved performance over baselines. Besides, our method enables us to discover very specific topics complying with consumer interests.
Anahtar Kelime:

Çevrimiçi kullanıcı yorumlarının bilgi temsili için alternatif bir kelime gömme yaklaşımı

Öz:
E-ticaret alışveriş sitelerinde satın alma kararları, çevrimiçi yorumlardan oldukça etkilenir. Çevrimiçi yorumlar, ürünlere yönelik tercihleri yansıtan ayrıntılı tüketici görüşleri içerse de; önemli bir zorluk, çevrimiçi yorumların miktarının hızlı ve etkili bir analiz için çok büyük olabileceğidir. Bu nedenle, belgelerin tematik yapısını keşfetmek, çevrimiçi yorumları analiz etmede önemli bir rol oynar. Bu çalışmada önerilen sistem, Türk e-ticaret web sitelerindeki çevrimiçi yorumlardaki tüketicilerin ana ilgi alanlarını keşfetmeyi amaçlamaktadır. Bu amaçla, Gizli Dirichlet Ayırımı (GDA) ve word2vec'i birleştiren yeni bir hibrit yöntem önerilmiştir. Son olarak, çalışmamızın performansını, güncel yöntemlerin performansıyla tanınmış Türk e-ticaret sitelerinden toplanan 7 veri kümesi üzerinden karşılaştırdık. Deneysel sonuçlar, önerilen yaklaşımımızın güncel yöntemlere göre önemli ölçüde gelişmiş performans sağlayabildiğini göstermektedir. Ayrıca yöntemimiz, tüketici ilgi alanlarına uygun çok özel konuları keşfetmeyi sağlar.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA Ekinci E, ilhan omurca s (2023). An alternative word embedding approach for knowledge representation in online consumers’ reviews. , 220 - 229. 10.5505/pajes.2022.10369
Chicago Ekinci Ekin,ilhan omurca sevinç An alternative word embedding approach for knowledge representation in online consumers’ reviews. (2023): 220 - 229. 10.5505/pajes.2022.10369
MLA Ekinci Ekin,ilhan omurca sevinç An alternative word embedding approach for knowledge representation in online consumers’ reviews. , 2023, ss.220 - 229. 10.5505/pajes.2022.10369
AMA Ekinci E,ilhan omurca s An alternative word embedding approach for knowledge representation in online consumers’ reviews. . 2023; 220 - 229. 10.5505/pajes.2022.10369
Vancouver Ekinci E,ilhan omurca s An alternative word embedding approach for knowledge representation in online consumers’ reviews. . 2023; 220 - 229. 10.5505/pajes.2022.10369
IEEE Ekinci E,ilhan omurca s "An alternative word embedding approach for knowledge representation in online consumers’ reviews." , ss.220 - 229, 2023. 10.5505/pajes.2022.10369
ISNAD Ekinci, Ekin - ilhan omurca, sevinç. "An alternative word embedding approach for knowledge representation in online consumers’ reviews". (2023), 220-229. https://doi.org/10.5505/pajes.2022.10369
APA Ekinci E, ilhan omurca s (2023). An alternative word embedding approach for knowledge representation in online consumers’ reviews. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 29(3), 220 - 229. 10.5505/pajes.2022.10369
Chicago Ekinci Ekin,ilhan omurca sevinç An alternative word embedding approach for knowledge representation in online consumers’ reviews. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 29, no.3 (2023): 220 - 229. 10.5505/pajes.2022.10369
MLA Ekinci Ekin,ilhan omurca sevinç An alternative word embedding approach for knowledge representation in online consumers’ reviews. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol.29, no.3, 2023, ss.220 - 229. 10.5505/pajes.2022.10369
AMA Ekinci E,ilhan omurca s An alternative word embedding approach for knowledge representation in online consumers’ reviews. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2023; 29(3): 220 - 229. 10.5505/pajes.2022.10369
Vancouver Ekinci E,ilhan omurca s An alternative word embedding approach for knowledge representation in online consumers’ reviews. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2023; 29(3): 220 - 229. 10.5505/pajes.2022.10369
IEEE Ekinci E,ilhan omurca s "An alternative word embedding approach for knowledge representation in online consumers’ reviews." Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 29, ss.220 - 229, 2023. 10.5505/pajes.2022.10369
ISNAD Ekinci, Ekin - ilhan omurca, sevinç. "An alternative word embedding approach for knowledge representation in online consumers’ reviews". Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 29/3 (2023), 220-229. https://doi.org/10.5505/pajes.2022.10369
Sayfa Oluşturulma Tarihi
24-04-2024 8:31

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