Home »
Academic Articles & Research Papers
Showing 20 of 1,539 academic articles
Vinit Mehta, Charu Sharma, Karthick Thiyagarajan • Sensors
(2025)
With the rapid advancement of artificial intelligence and robotics, the integration of Large Language Models (LLMs) with 3D vision is emerging as a transformative approach to enhancing robotic sensing technologies. This convergence enables ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25206394
Audrey Karungi Ngambeki, Halimu Chongomweru, Florence N. Kivunike • Information
(2026)
Reputational risk reflected in digital public discourse can significantly influence stakeholder perceptions, public trust, and decision-making surrounding government megaprojects. Existing computational approaches primarily focus on sentime...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info17100987
Taweh Beysolow • Apress eBooks
(2018)
Deep learning and machine learning continues to proliferate throughout various industries, and has revolutionized the topic that I wish to discuss in this book: natural language processing (NLP). NLP is a subfield of computer science that i...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-3733-5_1
Jacob Eisenstein (2021)
"The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as c...
OPENALEX
Pramod Kumar Singh • Apress eBooks
(2018)
This chapter uncovers some of the basic techniques to tackle text data using PySpark. Today's textual form of data is being generated at a lightning pace with multiple social media platforms offering users the options to share their opinion...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-4131-8_9
LIU Yao, QIN Xun, LIU Tianji • Jisuanji kexue
(2024)
To address the issue of re-analyzing and repeating development of natural language processing tools and resource ana-lysis plugins when new requirements arise during project development,this paper proposes a business-oriented on-demand reso...
DOAJ
Open Access (DOAJ)
DOI: 10.11896/jsjkx.230800191
Xinhui Liu, Jifa Chen, Qiubo Huang • Applied Sciences
(2025)
With the explosion of information, the amount of text data has increased significantly, making text categorization a central area of research in natural language processing (NLP). Traditional machine learning methods are effective, but deep...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15084236
Yasir Abdelgadir Mohamed, Abdul Hakim H. M. Mohamed, Akbar Khanan, Mohamed Bashir et al. • IEEE Access
(2024)
This review examines the ethical, social, and technical challenges posed by AI-generated text tools, focusing on their rapid advancement and widespread adoption. An exhaustive literature search across many databases, strict inclusion/exclus...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3521945
Alexander F. Gelbukh • International Conference on Hybrid Intelligent Systems (HIS)
(2005)
Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, th...
OPENALEX
DOI: https://doi.org/10.1109/ichis.2005.79
Vineet Raina, Srinath Krishnamurthy • Apress eBooks
(2021)
AI, as discussed in Chapter 1, refers to computers behaving intelligently like humans. One aspect of human intelligence is the capability of understanding and speaking languages. The subfield of AI that focuses on making computers seemingly...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-7419-4_6
Dirk Hovy, Shannon Lydia Spruit • Proceedings of the conference - Association for Computational Linguistics. Meeting
(2016)
Medical sciences have long since established an ethics code for experiments, to minimize the risk of harm to subjects.Natural language processing (NLP) used to involve mostly anonymous corpora, with the goal of enriching linguistic analysis...
OPENALEX
Open Access
DOI: https://doi.org/10.18653/v1/p16-2096
Bohan Li, Yutai Hou, Wanxiang Che • AI Open
(2022)
As an effective strategy, data augmentation (DA) alleviates data scarcity scenarios where deep learning techniques may fail. It is widely applied in computer vision then introduced to natural language processing and achieves improvements in...
OPENALEX
cc-by
DOI: https://doi.org/10.1016/j.aiopen.2022.03.001
Maria Frasca, Davide La Torre, Gabriella Pravettoni, Ilaria Cutica • Discover Artificial Intelligence
(2024)
Abstract This review aims to explore the growing impact of machine learning and deep learning algorithms in the medical field, with a specific focus on the critical issues of explainability and interpretability associated with black-box alg...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-024-00114-7
Field Cady • Wiley eBooks
(2017)
This chapter starts with several generic sections about natural language processing (NLP) datasets and big-picture concepts. It focuses on the core NLP concepts, and quick-and-dirty techniques to more complicated ones. The most basic concep...
OPENALEX
DOI: https://doi.org/10.1002/9781119092919.ch16
Arjun Mohanakumar, Massimiliano Rinaldi, Jasmine Hadj Saadoun, Camilla Lazzi et al. • Applied Food Research
(2026)
Agri-food processing generates large volumes of by-products that remain insufficiently exploited despite their content of phenolic compounds, peptides, polysaccharides, carotenoids, dietary fibres and other functional constituents. These si...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.afres.2026.102511
Dirk Hovy, Shrimai Prabhumoye • Language and Linguistics Compass
(2021)
Recently, there has been an increased interest in demographically grounded bias in natural language processing (NLP) applications. Much of the recent work has focused on describing bias and providing an overview of bias in a larger context....
OPENALEX
cc-by-nc
DOI: https://doi.org/10.1111/lnc3.12432
PMC: 9285808
Abhimanyu Chopra, Abhinav Prashar, Chandresh Sain • Natural language processing
(2013)
ABSTRACT: Language is way of communicating your words Language helps in understanding the world,we get a better insight of the world. Language helps speakers to be as vague or as precise as they like. NLP Stands for natural language process...
OPENALEX
DOI: https://doi.org/10.1075/nlp
CHEN Ao, LI Chen, YAN Jiayun, PENG Liantie et al. • Kongzhi Yu Xinxi Jishu
(2024)
Standardization is one of the key steps to analyze locomotive overhaul data with a focus on reliability-centered maintenance (RCM). However, traditional manual methods encounter challenges such as small sample sizes, non-standardized data f...
DOAJ
Open Access (DOAJ)
Peihua Ma, Si Chen, Wenfan Su, Jiping Sheng et al. • Journal of Agriculture and Food Research
(2025)
This study explores the application of GPT models for automating consumer food survey analysis, focusing on Chinese consumers' acceptance of plant-based foods, cultured meat, insect-based proteins, and microbial proteins. Traditional survey...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jafr.2025.102086
Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo et al. • ACM Computing Surveys
(2021)
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3444689