With artificial intelligence permeating conversations and marketing interactions through
digital technologies and media, machine learning models, in particular, natural language …

Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

The authors develop a three-stage framework for strategic marketing planning, incorporating
multiple artificial intelligence (AI) benefits: mechanical AI for automating repetitive marketing …

Artificial intelligence (AI) agents driven by machine learning algorithms are rapidly
transforming the business world, generating heightened interest from researchers. In this …

The growth of the Internet has led to massive availability of online consumer reviews. So far,
papers studying online reviews have mainly analysed how non-textual features, such as …

Words are part of almost every marketplace interaction. Online reviews, customer service
calls, press releases, marketing communications, and other interactions create a wealth of …

We develop a conceptual framework for collaborative artificial intelligence (AI) in marketing,
providing systematic guidance for how human marketers and consumers can team up with …

In light of the emerging discourse on AI systems' effect on society, whose perception swings
widely between utopian and dystopian, we conduct herein a critical analysis of how artificial …

Abstract Multi-class Sentiment Analysis (SA) is an important field of computational linguistics
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …

Despite the growing number of brands that rely on chatbots to address customer service
inquiries that once required human intervention, academics and practitioners are only …