D. Ramakrishnan and R. J. Valenza Fourier analysis on number fields (Graduate Texts in Mathematics, vol. 186, Springer, 1999), xxi + 350 pp., 0 387 98436 4, £30.50. [PDF]
R. W. K. Odoni
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Lexicon-Based Sentiment Analysis on Text Polarities with Evaluation of Classification Models [PDF]
Sentiment analysis possesses the potential of diverse applicability on digital platforms. Sentiment analysis extracts the polarity to understand the intensity and subjectivity in the text. This work uses a lexicon-based method to perform sentiment analysis and shows an evaluation of classification models trained over textual data.
arxiv
Retracted: Application of Adaptive Neural Network Algorithm Model in English Text Analysis. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes [PDF]
Text embeddings are numerical representations of text data, where words, phrases, or entire documents are converted into vectors of real numbers. These embeddings capture semantic meanings and relationships between text elements in a continuous vector space.
arxiv
intertextuality in contemporary egyptian media texts :an exploratory semiotic analysis [PDF]
bahaa eddin m.mazid
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Short-PHD: Detecting Short LLM-generated Text with Topological Data Analysis After Off-topic Content Insertion [PDF]
The malicious usage of large language models (LLMs) has motivated the detection of LLM-generated texts. Previous work in topological data analysis shows that the persistent homology dimension (PHD) of text embeddings can serve as a more robust and promising score than other zero-shot methods.
arxiv
An Analysis of MSKN and 'HL MW'D in the Masoretic Text of Exod 25-40
Ralph E. Hendrix
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Human Immunodeficiency Virus Reverse Transcriptase and Protease Sequence Database: an expanded data model integrating natural language text and sequence analysis programs [PDF]
Rami Kantor+5 more
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TF-Mamba: Text-enhanced Fusion Mamba with Missing Modalities for Robust Multimodal Sentiment Analysis [PDF]
Multimodal Sentiment Analysis (MSA) with missing modalities has attracted increasing attention recently. While current Transformer-based methods leverage dense text information to maintain model robustness, their quadratic complexity hinders efficient long-range modeling and multimodal fusion. To this end, we propose a novel and efficient Text-enhanced
arxiv
Automatic anxiety recognition method based on microblog text analysis. [PDF]
Yu Y, Li Q, Liu X.
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