Using of n-grams from morphological tags for fake news classification [PDF]
PeerJ Computer Science, 2021 Research of the techniques for effective fake news detection has become very needed and attractive. These techniques have a background in many research disciplines, including morphological analysis.
Jozef Kapusta, Martin Drlik, Michal Munk
doaj +4 more sources
Applied Sciences (Switzerland), 2019 In the paper the word-level n-grams based approach is proposed to find similarity between texts. The approach is a combination of two separate and independent techniques: self-organizing map (SOM) and text similarity measures.
Olga Kurašová +2 more
exaly +4 more sources
Detection of changes in literary writing style using N-grams as style markers and supervised machine learning. [PDF]
PLoS One, 2022 The analysis of an author’s writing style implies the characterization and identification of the style in terms of a set of features commonly called linguistic features.
Ríos-Toledo G +3 more
europepmc +2 more sources
Performance Study of N-grams in the Analysis of Sentiments
Journal of Nigerian Society of Physical Sciences, 2021 In this work, a study investigation was carried out using n-grams to classify sentiments with different machine learning and deep learning methods. We used this approach, which combines existing techniques, with the problem of predicting sequence tags to
O. E. Ojo +3 more
doaj +2 more sources
Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams. [PDF]
Front Bioeng Biotechnol, 2019 A promoter is a short region of DNA (100–1,000 bp) where transcription of a gene by RNA polymerase begins. It is typically located directly upstream or at the 5′ end of the transcription initiation site.
Le NQK +3 more
europepmc +2 more sources
Significant and Distinctive n-Grams in Oncology Notes: A Text-Mining Method to Analyze the Effect of OpenNotes on Clinical Documentation. [PDF]
JCO Clin Cancer Inform, 2019 PURPOSE OpenNotes is a national movement established in 2010 that gives patients access to their visit notes through online patient portals, and its goal is to improve transparency and communication. To determine whether granting patients access to their
Rahimian M +5 more
europepmc +2 more sources
Statistical analysis of the Indus script using n-grams. [PDF]
PLoS ONE, 2010 The Indus script is one of the major undeciphered scripts of the ancient world. The small size of the corpus, the absence of bilingual texts, and the lack of definite knowledge of the underlying language has frustrated efforts at decipherment since the ...
Nisha Yadav +5 more
doaj +2 more sources
Computing symmetrical strength of N-grams: a two pass filtering approach in automatic classification of text documents. [PDF]
Springerplus, 2016 The contiguous sequences of the terms (N-grams) in the documents are symmetrically distributed among different classes. The symmetrical distribution of the N-Grams raises uncertainty in the belongings of the N-Grams towards the class.
Agnihotri D, Verma K, Tripathi P.
europepmc +2 more sources
Learning In-context n-grams with Transformers: Sub-n-grams Are Near-stationary Points
CoRRMotivated by empirical observations of prolonged plateaus and stage-wise progression during training, we investigate the loss landscape of transformer models trained on in-context next-token prediction tasks. In particular, we focus on learning in-context $n$-gram language models under cross-entropy loss, and establish a sufficient condition for ...
Aditya Varre +2 more
openaire +5 more sources
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT [PDF]
arXiv.org, 2023 In this paper, we aimed to provide a review and tutorial for researchers in the field of medical imaging using language models to improve their tasks at hand.
Ming-Zhe Hu +3 more
semanticscholar +1 more source