Showing 161 - 180 results of 1,487 for search 'text patterns', query time: 0.12s Refine Results
  1. 161

    Unveiling differential adverse event profiles in vaccines via LLM text embeddings and ontology semantic analysis by Zhigang Wang, Xingxian Li, Jie Zheng, Yongqun He

    Published 2025-05-01
    “…A comparative analysis showed that, despite similar clustering patterns, the nomic-embed-text model outperformed the other. …”
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    Article
  2. 162

    Graph-text contrastive learning of inorganic crystal structure toward a foundation model of inorganic materials by Keisuke Ozawa, Teppei Suzuki, Shunsuke Tonogai, Tomoya Itakura

    Published 2024-12-01
    “…We present a contrastive learning of inorganic crystal structure (CLICS) for embedding the geometric concepts, which contrasts texts representing the contextual patterns of geometries with the crystal graphs. …”
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    Article
  3. 163

    Cognitive difference text classification in online knowledge collaboration based on SA-BiLSTM hybrid model by Fengjun Liu, Na Zhao, Guoqing Zhu

    Published 2025-07-01
    “…However, accurate extraction of semantic features and contextual patterns from such texts remains challenging in multi-dimensional discourse contexts. …”
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    Article
  4. 164

    A Hybrid Mathematical Framework for Dynamic Incident Prioritization Using Fuzzy Q-Learning and Text Analytics by Arturo Peralta, José A. Olivas, Pedro Navarro-Illana, Juan Alvarado

    Published 2025-06-01
    “…The proposed system models incident descriptions through semantic embeddings derived from advanced text analytics, which serve as state representations within a fuzzy Q-learning model. …”
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    Article
  5. 165

    Kann das doch weg? Dealing with the German Modal Particle doch in Albanian Literary Texts’ Translation by Blertë İsmajli, Vjosa Hamiti

    Published 2022-06-01
    “…Thus, the present study examines the translatability of the modal particle doch in Albanian literary texts. Compared to German language, Albanian does not have a group of modal particles and can, therefore, be classified as a “particle-poor” language. …”
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    Article
  6. 166

    Gender stereotypes in visual and verbal texts from government-distributed EFL textbook: Critical discourse analysis by Rama Dwika Herdiawan, Afief Fakhruddin, Eka Nurhidayat, Kardi Nurhadi

    Published 2025-03-01
    “…The visual and verbal texts were documented in dialogues and analyzed considering theories of gender stereotypes using CDA. …”
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    Article
  7. 167
  8. 168

    Dynamic Text Augmentation for Robust Sentiment Analysis: Enhancing Model Performance With EDA and Multi-Channel CNN by Komang Wahyu Trisna, Jinjie Huang, Yuanjian Chen, I Gede Juliana Eka Putra

    Published 2025-01-01
    “…The MCNN architecture effectively captures local patterns in text using multiple filter sizes, enabling comprehensive feature extraction with low computational overhead. …”
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    Article
  9. 169

    Fast2Vec, a modified model of FastText that enhances semantic analysis in topic evolution by Ayu Pertiwi, Azhari Azhari, Sri Mulyana

    Published 2025-05-01
    “…Word2Vec struggles with out-of-vocabulary (OOV) words, and FastText generates suboptimal embeddings for infrequent terms. …”
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    Article
  10. 170

    An adaptive search mechanism with convolutional learning networks for online social media text summarization and classification model by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Hassan Alkhiri, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

    Published 2025-04-01
    “…Abstract The fast development of social media platforms has led to an unprecedented growth of daily short text content. Removing valued patterns and insights from this vast amount of textual data requires advanced methods to provide information while preserving its essential components successfully. …”
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    Article
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  13. 173

    Personality Traits and Translation: The Effect of Introvert and Extrovert Personality Types on Translation Quality of Political and Journalistic Texts by Hafeze Raees Yazdi, Azar Bagheri Masoudzade

    Published 2023-05-01
    “…The current study is interdisciplinary research having a psychological look at the quality of translated texts. This work was an endeavor to probe the effect of the translators' personality- extrovert and introvert- on the translation quality of political and journalistic texts. …”
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  14. 174

    APPLICATION OF THE EVOLUTIONARY PARADIGM TO DESIGNING ARCHITEСTURE OF A NEURAL NETWORK FOR RECOGNIZING THE DISTORTED TEXT by Y. A. Bury, D. I. Samal

    Published 2018-02-01
    “…The paper presents an attempt to apply of evolutionary methods to the design and training of a system for recognizing distorted text.Over the past decades, artificial neural networks are widely used in many areas of artificial intelligence, such as forecasting, optimization, data analysis, pattern recognition and decision making. …”
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  15. 175

    An Efficient Text-Mining Framework of Automatic Essay Grading Using Discourse Macrostructural and Statistical Lexical Features by Husam M. Alawadh, Talha Meraj, Lama Aldosari, Hafiz Tayyab Rauf

    Published 2024-12-01
    “…One such technology is Automatic Essay Grading (AEG) or Automatic Text Scoring (ATS) systems. To enable educators to remain more focused on teaching, there is a dire need to develop a more efficient use of their time. …”
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  16. 176

    Verhulst-type equation and the universal pattern for global population growth. by Agata Angelika Sojecka, Aleksandra Drozd-Rzoska

    Published 2025-01-01
    “…It can be considered a reference pattern for long-term global population changes. For models recalling the Verhulst-type scaling, such analysis indicates that a single pair of growth rate and system resource coefficients [Formula: see text] should describe the rise in the global population. …”
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  18. 178

    “Chatbot Communication” as an Object of Linguistic Research in the System of Digital Communications by S. V. Kiseleva, A. A. Smirnova, N. A. Trofimova

    Published 2022-06-01
    “…To clarify some theoretical inaccuracies in the scientific work, corpus analysis of the texts of English-language and Russian-language web corpus is used. …”
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