Artificial intelligence in customer relationship management: literature review and future research directions

C Ledro, A Nosella, A Vinelli - Journal of Business & Industrial …, 2022 - emerald.com
Artificial intelligence in customer relationship management: literature review and future
research directions | Emerald Insight Books and journals Case studies Expert Briefings Open …

State-of-the-art of artificial intelligence and big data analytics reviews in five different domains: A bibliometric summary

PV Thayyib, R Mamilla, M Khan, H Fatima, M Asim… - Sustainability, 2023 - mdpi.com
Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …

Machine learning in medicine: a practical introduction to natural language processing

CJ Harrison, CJ Sidey-Gibbons - BMC medical research methodology, 2021 - Springer
Background Unstructured text, including medical records, patient feedback, and social
media comments, can be a rich source of data for clinical research. Natural language …

Sarcasm identification in textual data: systematic review, research challenges and open directions

CI Eke, AA Norman, L Shuib, HF Nweke - Artificial Intelligence Review, 2020 - Springer
Sarcasm is a form of sentiment whereby people express the implicit information, usually the
opposite of the message content in order to hurt someone emotionally or criticise something …

[HTML][HTML] Innovation and sdgs through social media analysis: Messages from fintech firms

JN Franco-Riquelme, L Rubalcaba - Journal of Open Innovation …, 2021 - mdpi.com
Financial technology-based firms (FinTech) are crucial to promoting new technologies and
advances in innovations related to the financial field, sustainable development, and financial …

Artificial intelligence tool penetration in business: Adoption, challenges and fears

S Schlögl, C Postulka, R Bernsteiner… - Knowledge Management in …, 2019 - Springer
Artificial Intelligence (AI) and its promise to improve the efficiency of entire business value
chains has been headlining newspapers for the last years. However, it seems that many …

Cross-lingual deep neural transfer learning in sentiment analysis

K Kanclerz, P Miłkowski, J Kocoń - Procedia Computer Science, 2020 - Elsevier
In this article, we present a novel technique for the use of language-agnostic sentence
representations to adapt the model trained on texts in Polish (as a low-resource language) …

Optimization of Sentiment Analysis for Indonesian Presidential Election using Naïve Bayes and Particle Swarm Optimization

N Hayatin, GI Marthasari, L Nuarini - Jurnal Online Informatika, 2020 - join.if.uinsgd.ac.id
Twitter can be used to analyze sentiment to get public opinion about public figures to find a
trend in positive or negative responses, especially to analyze sentiments related to …

Utilizing emotion scores for improving classifier performance for predicting customer's intended ratings from social media posts

A Ray, PK Bala, R Jain - Benchmarking: An International Journal, 2021 - emerald.com
Purpose Social media channels provide an avenue for expressing views about different
services/products. However, unlike merchandise/company websites (where users can post …

Multi-feature fusion framework for sarcasm identification on twitter data: A machine learning based approach

CI Eke, AA Norman, L Shuib - Plos one, 2021 - journals.plos.org
Sarcasm is the main reason behind the faulty classification of tweets. It brings a challenge in
natural language processing (NLP) as it hampers the method of finding people's actual …