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New trends in natural language processing: statistical natural language processing.

Mitchell P. Marcus • Proceedings of the National Academy of Sciences (1995)

The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. R...

OPENALEX Open Access DOI: https://doi.org/10.1073/pnas.92.22.10052 PMC: 40734

Natural Language Processing

Nils J. Nilsson • Cambridge University Press eBooks (2009)

B eyond pattern recognition of individual alphanumeric characters , whether they be of fixed font or handwritten, lies the problem of understanding strings of characters that form words, sentences, or larger assemblages of text in a “natura...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511819346.009

Impact of Machine Learning in Natural Language Processing: A Review

Tatwadarshi P. Nagarhalli, Vinod Moreshwar Vaze, Nirav Pravinsinh Rana • International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) (2021)

The recent times have seen unprecedented growth in research and development in the field of Artificial Intelligence and its allied fields, subfields, like Machine Learning, Deep Learning and Natural Language Processing. The new found excite...

OPENALEX DOI: https://doi.org/10.1109/icicv50876.2021.9388380

Using natural language processing technology for qualitative data analysis

Kevin Crowston, Eileen E. Allen, Robert Heckman • International Journal of Social Research Methodology (2011)

Social researchers often apply qualitative research methods to study groups and their communications artifacts. The use of computer-mediated communications has dramatically increased the volume of text available, but coding such text requir...

OPENALEX DOI: https://doi.org/10.1080/13645579.2011.625764

Arabic natural language processing: An overview

Imane Guellil, Houda Saâdane, Faiçal Azouaou, Billel Gueni et al. • Journal of King Saud University - Computer and Information Sciences (2019)

Arabic is recognised as the 4th most used language of the Internet. Arabic has three main varieties: (1) classical Arabic (CA), (2) Modern Standard Arabic (MSA), (3) Arabic Dialect (AD). MSA and AD could be written either in Arabic or in Ro...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.jksuci.2019.02.006

Self-Normalizing Neural Networks

Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter • arXiv (Cornell University) (2017)

Deep Learning has revolutionized vision via convolutional neural networks (CNNs) and natural language processing via recurrent neural networks (RNNs). However, success stories of Deep Learning with standard feed-forward neural networks (FNN...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1706.02515

Understanding of a convolutional neural network

Saad Albawi, Tareq Abed Mohammed, Saad Al-Azawi (2017)

The term Deep Learning or Deep Neural Network refers to Artificial Neural Networks (ANN) with multi layers. Over the last few decades, it has been considered to be one of the most powerful tools, and has become very popular in the literatur...

OPENALEX DOI: https://doi.org/10.1109/icengtechnol.2017.8308186

Understanding Customers' Opinion using Web Scraping and Natural Language Processing

Alin-Gabriel Vaduva, Simona-Vasilica Oprea, Dragos-Catalin Barbu • Ovidius University Annals: Economic Sciences Series (2023)

The web offers large volumes of data that is unstructured and fails to be further processed if not extracted and organized into local variables or into databases. In this paper, we aim to extract data from the Internet using web scraping ...

DOAJ Open Access (DOAJ)

Computational linguistics and discourse complexology: Paradigms and research methods

Valery Dmitrievich Solovyev, Marina Ivanovna Solnyshkina, Danielle S. McNamara • Russian Journal of Linguistics (2022)

The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic analysis have become a reality due to the ability of artificial neural networks not only to learn and adapt, but also carry out automate linguistic ana...

DOAJ Open Access (DOAJ) DOI: 10.22363/2687-0088-31326

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing

Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, Anahita Davoudi et al. • Frontiers in Public Health (2022)

BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpubh.2022.850619