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[HTML][HTML] A brief survey of machine learning and deep learning techniques for e-commerce research
The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …
techniques to address specific tasks in the e-commerce field. In this paper, we present a …
Sentiment analysis in e-commerce platforms: A review of current techniques and future directions
H Huang, AA Zavareh, MB Mustafa - IEEE Access, 2023 - ieeexplore.ieee.org
Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …
world application of natural language processing in recent times. Its main goal is to identify …
[PDF][PDF] The importance of behavioral data to identify online fake reviews for tourism businesses: A systematic review
In the last several decades, electronic word of mouth (eWOM) has been widely used by
consumers on different digital platforms to gather feedback about products and services from …
consumers on different digital platforms to gather feedback about products and services from …
The effect of fake reviews on e-commerce during and after Covid-19 pandemic: SKL-based fake reviews detection
The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other
precautionary measures lead to a global increase in online shop**. The increasing …
precautionary measures lead to a global increase in online shop**. The increasing …
Artificial intelligence in business-to-customer fashion retail: A literature review
Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …
already undergone significant changes because of artificial intelligence (AI). Business-to …
BERT-enhanced sentiment analysis for personalized e-commerce recommendations
Recommendation systems (RS) play a crucial role in enhancing conversion rates in e-
commerce by offering personalized product recommendations based on customer …
commerce by offering personalized product recommendations based on customer …
Unmasking deception: a CNN and adaptive PSO approach to detecting fake online reviews
N Deshai, B Bhaskara Rao - Soft Computing, 2023 - Springer
Online reviews play a critical role in modern word-of-mouth communication, influencing
consumers' shop** preferences and purchase decisions, and directly affecting a …
consumers' shop** preferences and purchase decisions, and directly affecting a …
Analisis Sentimen Publik dari Twitter Tentang Kebijakan Penanganan Covid-19 di Indonesia dengan Naive Bayes Classification
NPG Naraswati, R Nooraeni… - Sistemasi: Jurnal …, 2021 - sistemasi.ftik.unisi.ac.id
Beberapa bulan terakhir, penanganan COVID-19 menjadi salah satu permasalahan
kompleks yang dihadapi oleh hampir seluruh negara di dunia. Menilik dari hal tersebut …
kompleks yang dihadapi oleh hampir seluruh negara di dunia. Menilik dari hal tersebut …
SAFER: sentiment analysis-based fake review detection in e-commerce using deep learning
D Baishya, JJ Deka, G Dey, PK Singh - SN Computer Science, 2021 - Springer
The problem of fake deceptive reviews has become a threatening aspect for online users in
recent years. With the evolution of the online markets, the trend towards fake reviews has …
recent years. With the evolution of the online markets, the trend towards fake reviews has …
[HTML][HTML] An explainable prediction method based on Fuzzy Rough Sets, TOPSIS and hexagons of opposition: Applications to the analysis of Information Disorder
This paper presents a novel approach for predicting and explaining instances of Information
Disorder. The paper reports two significant findings: i) the use of structures of opposition to …
Disorder. The paper reports two significant findings: i) the use of structures of opposition to …