A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis

A Ghorbanali, MK Sohrabi - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …

Detecting fake reviews through topic modelling

ŞÖ Birim, I Kazancoglu, SK Mangla… - Journal of Business …, 2022 - Elsevier
Against the uncertainty caused by the information overload in the online world, consumers
can benefit greatly by reading online product reviews before making their online purchases …

FRD-LSTM: a novel technique for fake reviews detection using DCWR with the Bi-LSTM method

H Qayyum, F Ali, M Nawaz, T Nazir - Multimedia Tools and Applications, 2023 - Springer
The growth of the internet and the availability of online stores has increased the trend of
online shopping among customers. People preferred to read the comments posted by …

A Foodie's Proselytization mediates Lifestyle and Affective Commitment: An application of Affect Heuristics in the hospitality sector

P Verma - International Journal of Hospitality & Tourism …, 2023 - Taylor & Francis
ABSTRACT A foodie's review about a restaurant will be persuasive as it is an extension of
the self-internal consistency emanating from his lifestyle. Narcissism plays a psychological …

Towards a review-analytics-as-a-service (raaas) framework for smes: A case study on review fraud detection and understanding

X Truong Du Chau, T Toan Nguyen… - Australasian …, 2024 - journals.sagepub.com
With the advancement of internet technology, customers increasingly rely on online reviews
as a valuable source of information. The study aims to develop a marketing data analytics …

Joint sentiment topic model with word embeddings for fake review detection

L Shi, S Xie, L Wei, Y Tao, AW Junaid… - Available at SSRN …, 2022 - papers.ssrn.com
Instead of relying exclusively on suppliers to excavate information about products and
services, Internet users are now capable of attaining valuable information from a large …

An interpretable wide and deep model for online disinformation detection

Y Chai, Y Liu, W Li, B Zhu, H Liu, Y Jiang - Expert Systems with Applications, 2024 - Elsevier
The advent of the internet has facilitated the wide spread of online disinformation and thus
poses severe threats to the trustworthiness of cyberspace. Two types of methods are …

Fake Review Identification Using Machine Learning

C Singh, S Tanwar - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The use of false opinions, sometimes known as fake reviews, to mislead customers has
become more common in recent times. This is due to the fast growth of online marketing …

Leverage OneAPI to identify fake reviews for e-marketplace using NLP techniques

C Nandhini, AMD Shree, M Brindha - 2023 - IET
Nowadays customers rely on a particular product based on the reviews available on the
online e-commerce site. These reviews affect the customer's purchase decision as well as …

[PDF][PDF] Exploring Customer Insights of Content Platforms with Big Data Analytics

XT Du Chau - 2024 - researchgate.net
The report explores the significant impact of user-generated content (UGC) on digital
platforms over the past two decades, emphasizing its predominance as textual data …