Tracking 35 years of progress in metallic materials for extreme environments via text mining by Xin Wang, Anshu Raj, Yanqing Su, Shuozhi Xu, Kun Lu

“…Here we track the progress of metallic materials for extreme environments in the past 35 years using the text mining method, which allows us to discover patterns from a large scale of literature in the field. …”
Get full text

ATCodeR: a dictionary-based R-tool to standardize medication free-text by Isabel Schnorr, Stefanie Andreas, Linnea Schumann, Svenja Hahn, Jörg Janne Vehreschild, Daniel Maier

“…The present contribution introduces a user-friendly R-tool designed to transform free-text medication entries into the structured Anatomical Therapeutic Chemical (ATC) Classification System by applying a dictionary-based approach. …”
Get full text

Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks by Joseph Azar, Mohammed Al Saleh, Raphaël Couturier, Hassan Noura

“…This work proposes an anomaly detection method for high-dimensional sequences based on a bidirectional LSTM autoencoder. Additionally, a text-mining strategy based on a TF-IDF vectorizer and truncated SVD is presented for data preparation and feature extraction. …”
Get full text

SEMANTIC NETWORK FOR FORMING THE CONTENT OF TEXT MESSAGES FOR THE PROMOTION OF MOBILE APPLICATIONS TO THE CONSUMER MARKET by Yu. P. Ehlakov, E. K. Malakhovskaya

“…The key concepts in the semantic network are the “mobile application” and the “consumer”. Advertising texts are to be generated according to the marketing characteristics of these concepts (especially in terms of the perception of information, properties of the mobile application and others). …”
Get full text

GDText-VM: an arbitrary-shaped scene text detector based on globally deformable VMamba by Yingnan Zhao, Zheng Hu, Fangqi Ding, Jielin Jiang, Xiaolong Xu

“…Unlike the original VMamba, GDText-VM integrates deformable convolutions to enhance focus on local regions and reduces reliance on cross-shaped activation patterns. Additionally, to improve the capability of GDText-VM to fit text contours in the Fourier domain, this study introduces an innovative Global Attention Shuffle Module (GASM). …”
Get full text

Review of deviations in the" Sherastan" based on the pattern Leech by Abdollah Hasanzade mirali, Mohammad Rezaei, Narjes Moghimi

Get full text

Class Concept Representation From Contextual Texts for Training-Free Multi-Label Recognition by Dong Un Kang, Hyunwoo Lee, Se Young Chun

“…To address these limitations, we propose a training-free and label-free MLR framework that leverages the abundant text descriptions of novel classes to narrow the gap between the visual and text features at inference. …”
Get full text

Leveraging Text Mining and Network Analysis for the Diffusion of Agricultural Science and Technology Policies in China by Xiaohe Liang, Yu Wu, Jiajia Liu, Jiayu Zhuang, Tong Yuan, Ying Chen, Lizhen Cui, Ailian Zhou, Jiajia Zhou, Tong Li

Get full text

Extracting individual trajectories from text by fusing large language models with diverse knowledge by Le Liu, Tao Pei, Zidong Fang, Xiaorui Yan, Chenglong Zheng, Xi Wang, Ci Song, Wenfei Luan, Jie Chen

“…Extracting trajectories from text can enhance travel experience optimization, historical analysis, and pandemic management. …”
Get full text

Automated Text Structuring: Natural Language Processing and Regular Expressions in XML Tag Filling by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

Get full text

Virtual Load Theory: A General Approach for Mitigating Mutual Coupling in Antenna Arrays by Majid Manteghi

“…Simulation results show that the method successfully recovers embedded element patterns, closely matching isolated patterns even under severe coupling conditions. …”
Get full text

Personalized insights into liver disease management: a text mining analysis of online consultation data by Kun Xiang, Danxi Shi

“…Stratified analyses further highlighted notable demographic variations in disease patterns and progression pathways.ConclusionThis study validates the effectiveness of integrated text mining approaches in uncovering clinically relevant patterns from online consultation data, with particular strength in medical entity recognition and association detection. …”
Get full text

<i>Patterns of Text: In Honour of Michael Hoey</i> Mike Scott and Geoff Thompson (editors) (University of Liverpool) Amsterdam: John Benjamins, 2001, vii+323 pp; hardbound, ISBN 90-272-2572-9 and 1-55619-792-6, $100.00, € 110.00 by Warren J. Plath

Get full text

Text-mining metadata: What can titles tell us of the history of modern and contemporary art? by Mike Bowman

“…The use of statistical text-mining to investigate the linguistic structure of textual resources has received limited attention in digital art history. …”
Get full text

THE RELATIONSHIP BETWEEN EDUCATION AND TEXT SIMILARITY CHECKING PROCESS ACROSS COUNTRIES: A QUANTITATIVE ANALYSIS by Artem Artyukhov, Olena Churikanova, Oleksandr Dluhopolskyi, Kseniia Bliumska-Danko

Get full text

Hypercorrections in a Western Basque text: What do they tell us about sibilant mergers? by Dorota Krajewska

“…Because of that, hypercorrections found in that text are hypothesised to be purely graphical. Using quantitative methods, the paper compares the patterns found in spellings found in the two texts in order to better understand merger processes involved (and especially hypercorrections), but also to reflect on the methodology which can be used to analyse such issues. …”
Get full text

Decoding the digital: a corpus-based study of simplifications and other translation universals in translated texts by Muhammad Afzaal, Muhammad Afzaal, Baorong Huang, Baorong Huang, Dina Abdel Salam El-Dakhs

“…This exploration discerns overarching patterns, termed translation universals, along with nuances distinctive to the computing sector. …”
Get full text

Using Graph-Based Maximum Independent Sets with Large Language Models for Extractive Text Summarization by Cengiz Hark

“…Large Language Models (LLMs) have shown a strong performance across various tasks but still face challenges in automatic text summarization. While they are effective in capturing semantic patterns from large corpora, they typically lack mechanisms for encoding structural relationships between sentences or paragraphs. …”
Get full text

EVALUATING COHESION AND COHERENCE IN THESIS INTRODUCTIONS: A THEMATIC PROGRESSION ANALYSIS OF EFL STUDENTS’ TEXTS by Ade Ismail, Indry Widyasti Anwar, Sartika Putri Sailuddin, Hijril Ismail

“…The analysis method used is thematic progression. The student texts were analyzed for each paragraph, then counted how many sentences applied the Constant Theme Pattern, Linear Theme Pattern, Split Theme Pattern, and Derived Theme Pattern. …”
Get full text

Chinese GFL-Learners’ Connector Usage: A Corpus-Linguistic Study of Argumentative Learner Texts by Zekun Wu, Yuan Li

Get full text