A review of the trends and challenges in adopting natural language processing methods for education feedback analysis

T Shaik, X Tao, Y Li, C Dann, J McDonald… - Ieee …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …

NLP techniques for automating responses to customer queries: a systematic review

PA Olujimi, A Ade-Ibijola - Discover Artificial Intelligence, 2023 - Springer
The demand for automated customer support approaches in customer-centric environments
has increased significantly in the past few years. Natural Language Processing (NLP) …

Comparison of text preprocessing methods

CP Chai - Natural Language Engineering, 2023 - cambridge.org
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

[BOK][B] Emerging technologies: value creation for sustainable development

S Küfeoğlu - 2022 - library.oapen.org
This monograph investigates a multitude of emerging technologies including 3D printing,
5G, blockchain, and many more to assess their potential for use to further humanity's shared …

Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment

S Gündel, AAA Setio, FC Ghesu, S Grbic… - Medical Image …, 2021 - Elsevier
Chest radiography is the most common radiographic examination performed in daily clinical
practice for the detection of various heart and lung abnormalities. The large amount of data …

Meta-analysis of AI research in journalism: Challenges, opportunities and future research agenda for Arab journalism

M Abdulmajeed, N Fahmy - … , Middle Eastern, North African Conference on …, 2022 - Springer
The use of artificial intelligence tools in newsrooms is revolutionary and controversial as
well. Despite the promising opportunities provided by AI to enhance digital journalism …

Deep model compression for mobile platforms: A survey

K Nan, S Liu, J Du, H Liu - Tsinghua Science and Technology, 2019 - ieeexplore.ieee.org
Despite the rapid development of mobile and embedded hardware, directly executing
computation-expensive and storage-intensive deep learning algorithms on these devices' …

Smart investigation of artificial intelligence in renewable energy system technologies by natural language processing: Insightful pattern for decision-makers

K Niroomand, NMC Saady, C Bazan… - … Applications of Artificial …, 2023 - Elsevier
This study aims to provide a framework which enables decision-makers and researchers to
identify AI technology patterns in renewable energy systems from a massive data set of …

[HTML][HTML] Review of ambiguity problem in text summarization using hybrid ACA and SLR

S Sutriawan, S Rustad, GF Shidik, P Pujiono… - Intelligent Systems with …, 2024 - Elsevier
Text summarization is the process of creating a text summary that contains important
information from a text document. In recent years, significant progress has been made in the …

A deep learning model of spatial distance and named entity recognition (SD-NER) for flood mark text classification

R Szczepanek - Water, 2023 - mdpi.com
Information on historical flood levels can be communicated verbally, in documents, or in the
form of flood marks. The latter are the most useful from the point of view of public awareness …