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Artificial intelligence in customer relationship management: literature review and future research directions
Artificial intelligence in customer relationship management: literature review and future
research directions | Emerald Insight Books and journals Case studies Expert Briefings Open …
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
Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …
Machine learning in medicine: a practical introduction to natural language processing
Background Unstructured text, including medical records, patient feedback, and social
media comments, can be a rich source of data for clinical research. Natural language …
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
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 …
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
Financial technology-based firms (FinTech) are crucial to promoting new technologies and
advances in innovations related to the financial field, sustainable development, and financial …
advances in innovations related to the financial field, sustainable development, and financial …
Artificial intelligence tool penetration in business: Adoption, challenges and fears
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 …
chains has been headlining newspapers for the last years. However, it seems that many …
Cross-lingual deep neural transfer learning in sentiment analysis
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) …
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
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 …
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
Purpose Social media channels provide an avenue for expressing views about different
services/products. However, unlike merchandise/company websites (where users can post …
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
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 …
natural language processing (NLP) as it hampers the method of finding people's actual …