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 …
a key area that directly affects the natural language processing (NLP) application results. For …
Data reduction in big data: a survey of methods, challenges and future directions
Data reduction plays a pivotal role in managing and analyzing big data, which is
characterized by its volume, velocity, variety, veracity, value, variability, and visibility …
characterized by its volume, velocity, variety, veracity, value, variability, and visibility …
[HTML][HTML] Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers
With the advent of the modern pre-trained Transformers, the text preprocessing has started
to be neglected and not specifically addressed in recent NLP literature. However, both from …
to be neglected and not specifically addressed in recent NLP literature. However, both from …
AOH-Senti: aspect-oriented hybrid approach to sentiment analysis of students' feedback
A Kathuria, A Gupta, RK Singla - SN Computer Science, 2023 - Springer
Abstract Evaluation of students' feedback is essential in education as it helps the instructors
to check the effectiveness of their teaching. The feedback collected at the end of the …
to check the effectiveness of their teaching. The feedback collected at the end of the …
Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits' text
Writing notes is the most widespread method to report clinical events. Therefore, most of the
information about the disease history of a patient remains locked behind free-form text …
information about the disease history of a patient remains locked behind free-form text …
Policy making in the financial industry: a framework for regulatory impact analysis using textual analysis
Regulators conduct regulatory impact analyses (RIA) to evaluate whether regulatory actions
fulfill the desired goals. Although there are different frameworks for conducting RIA, they are …
fulfill the desired goals. Although there are different frameworks for conducting RIA, they are …
[PDF][PDF] Software Language Engineering-Text Processing Language Design, Implementation, Evaluation Methods
JW Lutalo - 2024 - preprints.org
Programming languages drive most if not all of modern problem-solving using
computational methods and power. Research into new programming languages and …
computational methods and power. Research into new programming languages and …
A comprehensive cross-language framework for harmful content detection with the aid of sentiment analysis
M Dehghani - arXiv preprint arXiv:2403.01270, 2024 - arxiv.org
In today's digital world, social media plays a significant role in facilitating communication and
content sharing. However, the exponential rise in user-generated content has led to …
content sharing. However, the exponential rise in user-generated content has led to …
Clustering Medical Transcriptions Using K-Means
The clustering of medical transcriptions is an essential task for the categorization and
summarization of large volumes of medical records. This paper explores the efficacy of k …
summarization of large volumes of medical records. This paper explores the efficacy of k …
[PDF][PDF] The Good, the Bad, and the Neutral: Twitter Users' Opinion on the ASUU Strike.
AS Muhammad, M Nat - Informing Sci. Int. J. an Emerg. Transdiscipl., 2022 - academia.edu
ABSTRACT Aim/Purpose Nigeria's university education goes through incessant strikes by
the Academic Staff Union of Universities (ASUU). This strike has led to shared emotion on …
the Academic Staff Union of Universities (ASUU). This strike has led to shared emotion on …