Combining Written Discourse Analysis with the Teaching of Second Language Writing by Aboud Hennach, Abdelhak Nemouchi

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Financial Fraud Detection on Social Networks Based on a Data Mining Approach by Victoria Bozhenko, Serhii Mynenko, Artem Shtefan

“…The main goal of the research is to develop methodological principles for identifying financial cyber fraud in social networks based on the analysis of comments to identify relevant text patterns that may indicate manipulation attempts and further fraud. …”
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Construction of universal russian characters classifiers BASED ON CONVOLUTIONAL NEURAL NETWORKs by N. N. Kuzmitsky

“…Presents the method of constructing universal classifiers of text images based on three-level committee of convolutional neural networks, generation and accounting of specific text patterns features, depending on methods of their synthesis. …”
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Musical Manifestations of Textual Patterning in Estonian Regilaul by Janika Oras

“…The article analyses the marking of song text patterns by means of musical devices in the performances of Estonian regilaul. …”
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An automatic ICD coding method for clinical records based on deep neural network by Yichao DU, Tong XU, Jianhui MA, Enhong CHEN, Yi ZHENG, Tongzhu LIU, Guixian TONG

“…With the increase in the number of the international classification of diseases (ICD) codes,the difficulty and cost of manual coding based on clinical records have greatly increased,and automatic ICD coding technology has attracted widespread attention.A multi-scale residual graph convolution network automatic ICD coding technology was proposed.This technology uses a multi-scale residual network to capture text patterns of different lengths of clinical text and extracts the hierarchical relationship between labels based on the graph convolutional neural network to enhance the ability of automatic coding.The experimental results on the real medical data set MIMIC-III show that the P@k and Micro-F1 of this method are 72.2% and 53.9%,respectively,which significantly improves the prediction performance.…”
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Schematy, wzorce tekstowe, gatunki mowy... (O kategoryzacji, kategoriach wypowiedzi językowych i ich modelowaniu) by Bożena Witosz

“…<span>The author, by undertaking the issue of categorisation of linguistic statement draws attention to the diversified terminology referring to the text patterns. The observation of the contents of notions - most frequently used nowadays in the theory of text /discourse - as well as their realm and methodological context, leads to the conclusion that this differentiation has its origins not only in the transformations taking place within theoretical discourse concerning the text (eg. pluralism of methodology, tendencies to integrating formulations etc) but also in inconsistent separation of particular levels of categorisation by the researchers, especially the basic level from those placed above and below the basic one. …”
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Harnessing Large Language Models and Deep Neural Networks for Fake News Detection by Eleftheria Papageorgiou, Iraklis Varlamis, Christos Chronis

“…Large language models (LLMs) offer promising solutions by capturing complex text patterns, but challenges remain in ensuring their accuracy and generalizability. …”
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Enhanced Multi-Class Detection of Fake News by Chih-yuan Li, Soon Ae Chun, James Geller

“…Our experiment demonstrates CNN's effectiveness in identifying text patterns. To address class imbalances, we experimented with three different balancing methods. …”
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Pluralistic Ethics and Fiqh of Nationality: Lirboyo Islamic Boarding School's Efforts to Build a National Episteme Based on Jurisprudence by Haqqul Yaqin, Suhermanto Ja'far

“…To provide more detailed text patterns and exploration, interviews were conducted with several senior students who initiated the discourse on the fiqh of nationality, as well as with several caregivers. …”
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Leveraging Text Signed Distance Function Map for Boundary-Aware Guidance in Scene Text Segmentation by Ho Jun Kim, Hak Gu Kim

“…Our approach not only mitigates confusion between text and complex backgrounds by eliminating false positives such as logos and texture blobs located far from the text, but also effectively captures fine details of complex text patterns by leveraging text boundary information. …”
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Software engineering meets legal texts: LLMs for auto detection of contract smells by Moriya Dechtiar, Daniel Martin Katz, Hongming Wang

“…Porting well-known code smells principles to various legal contracts, we introduce ”contract smells,” text patterns that are indicative of potentially significant issues within contractual agreements. …”
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Personal experience with AI-generated peer reviews: a case study by Nicholas Lo Vecchio

“…Supporting evidence includes text patterns in the reports, online AI detection tools and ChatGPT simulations; recommendations are offered for others who may find themselves in a similar situation. …”
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An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems by Prince Mahmud, Anisur Rahman, Kamrul Hasan Talukder

“…The new method beats older ones regarding average runtime, number of attempts, and character comparisons for long and short text patterns, though it did worse on some short patterns.…”
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A comprehensive framework for multi-modal hate speech detection in social media using deep learning by R. Prabhu, V. Seethalakshmi

“…This hybrid approach leverages CNNs for spatial feature extraction, such as identifying visual cues in images and local text patterns, and Long Short Term Memory (LSTM) for modeling temporal dependencies and sequential information in text and audio. …”
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Part of speech weighted multi-modal emotion analysis model with dynamic adjustment of semantic representation by HUA Qiang, CHEN Zhuo, ZHANG Feng, DONG Chunru

“…The PM-DS model takes natural language as the main body, and uses bidirectional encoder representation from transformer model, generalized autoregressive pre-training model for language understanding (XLNet) and a robustly optimized BERT pretraining approach (RoBERTa) to embed words into text patterns, respectively. A dynamic semantic adjustment module is created to effectively combine natural language and unnatural language information. …”
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Prompt-based fine-tuning with multilingual transformers for language-independent sentiment analysis by Faizad Ullah, Safiullah Faizullah, Imdad Ullah Khan, Turki Alghamdi, Toqeer Ali Syed, Ahmad B. Alkhodre, Muhammad Sohaib Ayub, Asim Karim

“…A hybrid deep learning model is introduced, combining Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNNs) to capture local and sequential text patterns. Building on these, pre-trained multilingual transformer models, specifically BERT-base-multilingual and XLM-RoBERTa, are fine-tuned for language-independent sentiment classification tasks. …”
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Saadi's political issue study with Skinner's hermeneutic pattern by Ali Qasemi

“…Identifying, understanding and explaining the concern and the issue is of great importance to Saadi time and the article tries to text pattern of a central area of the most important political issue in pattern of the text-context Hermeneutics Skinner. …”
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TXT LINGO: a cross-sectional study on the impact on orthographic competence and performance by Sonia Sunny

“…The writing patterns of Engineering students of two South Indian states were analyzed to investigate the texting patterns of students and their influence on students’ proficiency. …”
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Text Analysis of Patent Abstracts by Yvonne Tsai

“…This includes text structure, text pattern, linguistic features, lexical analysis, and syntactic analysis. …”
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Link-centric analysis of variation by demographics in mobile phone communication patterns. by Mikaela Irene D Fudolig, Kunal Bhattacharya, Daniel Monsivais, Hang-Hyun Jo, Kimmo Kaski

“…Unlike most previous research on call detail records that focused on the variation of phone usage across individual users, we examine how the calling and texting patterns obtained from call detail records vary among pairs of users and how these patterns are affected by the nature of relationships between users. …”
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