Comparison of algorithms for the recognition of ChatGPT paraphrased texts by Aleksandar Kartelj, Miljana Mladenović, Staša Vujičić Stanković

“…Syntax analysis of the test datasets has shown that the change of the model temperature influences syntactic features (average number of words and sentences) in English texts and slightly or not in Serbian texts. …”
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PROPERTIES OF LEXICAL NETWORKS BUILT ON NATURAL AND RANDOM TEXTS by Oleh Kushnir, A. Drebot, D. Ostrikov, O. Kravchuk

“…Our linguistic networks are built on a natural text (NT) and a random text (RT), which has been obtained after randomizing the NT on the lexical level. …”
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Comparison between RSA and CAST-128 with Adaptive Key for Video Frames Encryption with Highest Average Entropy by Enas Tariq Khudair, Ekhlas Falih Naser, Alaa Noori Mazher

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THE INFLUENCE OF USING SEMANTIC MAPPING TO TEACH WRITING NARRATIVE TEXT by Nadia Tsyifa Husnulhanifah, Elisa Nurul Laili

“…The student's writing ability in the experimental class and control class during the pre-test was still constrained by vocabulary and differences in text. The average value of the posttest in the experimental class was 72.60 and that of the control class was 63.77. …”
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The Effect of Hypnoteaching Intervention Methods on Interest in Reading Story Texts by Pirman Pirman

“…The results of this study showed that the results of the paired simple test using SPSS version 27 showed that the significance value was 0.001 < 0.05 which means that there was an average questionnaire about the interest in reading story texts using the Hypnoteaching intervention method. …”
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CIDER: Context-sensitive polarity measurement for short-form text. by James C Young, Rudy Arthur, Hywel T P Williams

“…Researchers commonly perform sentiment analysis on large collections of short texts like tweets, Reddit posts or newspaper headlines that are all focused on a specific topic, theme or event. …”
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Scene Text Recognition That Eliminates Background and Character Noise Interference by Shancheng Tang, Yaoqian Cao, Shaojun Liang, Zicheng Jin, Kun Lai

“…In natural photographs, complex background noise and character noise frequently interfere with scene text identification. To solve the aforementioned concerns, this paper proposes a novel scene character identification model that eliminates noise from both the backdrop and the character (ENBC). …”
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AITtrack: Attention-Based Image-Text Alignment for Visual Tracking by Basit Alawode, Sajid Javed

“…In VLMs, a vision encoder is employed to obtain visual representation, and a text encoder is employed to estimate the textual embeddings using natural language descriptions. …”
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Modified Kumaraswamy seasonal autoregressive moving average models with exogenous regressors for double-bounded hydro-environmental data. by Aline Armanini Stefanan, Murilo Sagrillo, Bruna G Palm, Fábio M Bayer

“…Moreover, MKSARMAX outperforms βSARMA, SARMAX, Holt-Winters, and KARMA models in most accuracy measures analyzed when applied to useful water volume datasets, presenting for the first-step forecast at least [Formula: see text] lower MAE, RMSE, and MAPE values than competitors in the Caconde UV dataset, and [Formula: see text] lower MAE, RMSE, and MAPE values than competitors in the Guarapiranga UV dataset. …”
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Keywords, morpheme parsing and syntactic trees: features for text complexity assessment by Dmitry A. Morozov, Ivan A. Smal, Timur A. Garipov, Anna V. Glazkova

“…The methods for generating a feature vector when automatically assessing the text complexity are quite diverse. Early approaches relied on easily calculable quantities, such as the average length of a sentence or the average number of syllables per word. …”
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Lexical Comprehensibility as a Criterion for Easy-to-Read Texts: An Experimental Study by S. A. Osokina, Z. N. Mihienko

“…The experiment involved 38 patients (≥ 18 y.o.) of Altai Regional Clinical Psychiatric Hospital with disability categories I and II who were proficient enough in spoken and written communication (November-December 2022). On average, one person read 20 different texts. The authors studied words and phrases designated by the participants as incomprehensible in original and adapted texts. …”
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Multimodal diffusion framework for collaborative text image audio generation and applications by Junhua Wang, Ouya Zhang, Yuan Jiang

“…Abstract This paper presents a novel framework for collaborative generation across text, image, and audio modalities using an enhanced diffusion model architecture. …”
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The Effect of Using Storybird Application on Students’ Reading Comprehension of Narrative Text by Nisrina Nurdiani, Muhamad Sofian Hadi

“… The problem in this study is that many Indonesian students still face significant challenges in English reading comprehension, especially with narrative texts, which hinder their academic progress. Addressing this issue requires innovative pedagogical approaches utilizing technology. …”
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Detecting Anomalies in Sequences of Short Text Using Iterative Language Models by Cynthia Freeman, Ian Beaver, Abdullah Mueen

“…Empirical evaluation shows that our method achieves, on average, 31% higher max F1 scores than the baseline method of non-negative matrix factorization across three large human-annotated sequences of short texts.…”
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An enhanced text classification model by the inverted attention orthogonal projection module by Hong Zhao, Chenpeng Zhang, Aolong Wang

“…Experiments show that text classification models based on IAOPM outperform the baseline models, self-attention mechanisms, and the original orthogonal projection method on multiple text classification datasets with an average accuracy increase of 1.02%, 0.44%, and 0.52%, respectively.…”
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FAHPBEP: A Fuzzy Analytic Hierarchy Process Framework in Text Classification by Razieh Asgarnezhad, Sayed Monadjemi, MohammadReza Soltanaghaei

“…Sentiment Classification is one of the most common problems in text mining, which applies to categorize reviews into positive and negative classes. …”
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An interpretable multi-transformer ensemble for text-based movie genre classification by Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Nouf Nawar Alotaibi, Salma Mohsen M. Alnefaie

“…Most of the existing works in genre classification use audio-visual modalities. The potential of text-based modalities in movie genre classification is still underexplored. …”
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A Multi-Modal Attentive Framework That Can Interpret Text (MMAT) by Vijay Kumari, Sarthak Gupta, Yashvardhan Sharma, Lavika Goel

“…The proposed model uses the dynamic pointer network instead of classification for iterative answer prediction with a focal loss function to overcome the class imbalance problem. On the TextVQA dataset, the proposed model obtains an accuracy of 46.8% and an average of 55.21% on the STVQA dataset. …”
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Investigating the Relationship Between Text Vectorization Cosine Similarity and Classification Performance by Fernando Rezende Zagatti, Gilson Yuuji Shimizu, Daniel Lucredio, Helena de Medeiros Caseli

“…This paper proposes a similarity-based approach for selecting the most promising vectorization configurations&#x2013;specifically, Bag of Words (BoW), Term Frequency-Inverse Document Frequency (TF-IDF), and Word2Vec&#x2013;by analyzing the average cosine similarity of the generated vectors; by preselecting configurations that yield more diverse textual representations, our method relies on the hypothesis that increased diversity in text representations enhances the discriminative capacity of classification models. …”
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Benchmarking with a Language Model Initial Selection for Text Classification Tasks by Agus Riyadi, Mate Kovacs, Uwe Serdült, Victor Kryssanov

“…A semantic similarity assessment of random texts is used as the proxy task for the initial selection, and the approach is explicated in the context of various text classification assignments. …”
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