Using artificial intelligence to tackle food waste and enhance the circular economy: Maximising resource efficiency and minimising environmental impact: A review
Food waste is a global issue with significant economic, social, and environmental impacts.
Addressing this problem requires a multifaceted approach; one promising avenue is using …
Addressing this problem requires a multifaceted approach; one promising avenue is using …
Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
Valorization of food waste: A comprehensive review of individual technologies for producing bio-based products
SA Ansari, T Kumar, R Sawarkar, M Gobade… - Journal of …, 2024 - Elsevier
Background The escalating global concerns about food waste and the imperative need for
sustainable practices have fuelled a burgeoning interest in the valorization of food waste …
sustainable practices have fuelled a burgeoning interest in the valorization of food waste …
[HTML][HTML] Fast real-time monitoring of meat freshness based on fluorescent sensing array and deep learning: From development to deployment
A fluorescent sensor array (FSA) combined with deep learning (DL) techniques was
developed for meat freshness real-time monitoring from development to deployment. The …
developed for meat freshness real-time monitoring from development to deployment. The …
[HTML][HTML] Unboxing deep learning model of food delivery service reviews using explainable artificial intelligence (XAI) technique
The demand for food delivery services (FDSs) during the COVID-19 crisis has been fuelled
by consumers who prefer to order meals online and have it delivered to their door than to …
by consumers who prefer to order meals online and have it delivered to their door than to …
Comprehensive review and comparative analysis of transformer models in sentiment analysis
Sentiment analysis has become an important task in natural language processing because it
is used in many different areas. This paper gives a detailed review of sentiment analysis …
is used in many different areas. This paper gives a detailed review of sentiment analysis …
The use of artificial intelligence (AI) in qualitative research for theory development
PA Christou - 2023 - philpapers.org
Abstract Theory development is an important component of academic research since it can
lead to the acquisition of new knowledge, the development of a field of study, and the …
lead to the acquisition of new knowledge, the development of a field of study, and the …
Predicting Customer Sentiment in Social Media Interactions: Analyzing Amazon Help Twitter Conversations Using Machine Learning
Social media platforms, particularly Twitter, have become essential sources of data for
various applications, including marketing and customer service. This study focuses on …
various applications, including marketing and customer service. This study focuses on …
[HTML][HTML] Tertiary review on explainable artificial intelligence: where do we stand?
Research into explainable artificial intelligence (XAI) methods has exploded over the past
five years. It is essential to synthesize and categorize this research and, for this purpose …
five years. It is essential to synthesize and categorize this research and, for this purpose …
Artificial intelligence, machine learning, and deep learning for sentiment analysis in business to enhance customer experience, loyalty, and satisfaction
Abstract The integration of Artificial Intelligence (AI), Machine Learning (ML), and deep
learning into sentiment analysis is revolutionizing how businesses enhance customer …
learning into sentiment analysis is revolutionizing how businesses enhance customer …