Nov 24, 2023 · This research focuses on image analysis, specifically the categorization of gazetteer illustrations such as maps, which is an area that has not been widely ... Our method demonstrates exceptional performance in classifying text document images with the precision of 99 per cent, recall of 100 per cent, and F1 ...

Apr 19, 2024 · (2020) , pre-trained LMs have proven to be powerful in natural language understanding, which is crucial for enhancing various tasks in NLP, with text categorization being particularly noteworthy. ... This disparity between high reported performance and actual reliability underlines the need for critical evaluation ...

Feb 2, 2024 · This categorization was not arbitrary; in practical applications and academic research, user needs are expected to be classified into the four categories ... The UEQ scores range from −3 to 3, with higher scores indicating better performance in the respective dimension. The text analysis tool outperformed the ...

Jul 22, 2024 · After the decoding phase, a post-processing step is performed with a word beam search decoder based on connectionist temporal categorization. Our approach builds on LexiconNet's existing architecture by carefully incorporating gated convolutional layers into the deep neural network. The character error rates for ...

Jun 15, 2024 · We describe here an N-gram-based approach to text categorization that is tolerant of textual errors. The system is small, fast and robust. This system worked very well for language classification, achieving in one test a 99.8% correct classification rate on Usenet ...

Nov 7, 2023 · We believe that by exploring how ChatGPT can contribute to agricultural production and management through text classification tasks such as pest and disease identification, agricultural news categorization, and market comment analysis, we can demonstrate the feasibility of ChatGPT in advancing agricultural practices, ...

Aug 15, 2023 · Text Categorization Can Enhance Domain-Agnostic Stopword Extraction, Houcemeddine Turki et.al. 2401.13398v1, null. 2024-01-24, MaLA-500: Massive Language ... On the (In)Effectiveness of Large Language Models for Chinese Text Correction, Yinghui Li et.al. 2307.09007v1, null. 2023-07-18, NTK-approximating MLP Fusion for ...

May 15, 2024 · This research produces a prototype of a business license monitoring system. This smart governance tool checks the validity of business license documents ... The text categorization process encompasses several stages which include text acquisition and extraction [18], text analysis and labeling [19], feature ...

Jun 3, 2024 · ... categorization of annoying behaviors using #petpeeve tweets. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. 2557–2563 ... Machine learning-based methods show high performance in estimating the thermal sensation of a person. These methods are based on a huge amount of ...

Oct 19, 2023 · Through the above analysis, annotation, filtering, and categorization process, we obtained a category of question intents for Nanjing Yunjin with high ... The system integrates a large amount of Nanjing Yunjin related data and stores it in a visually graphed form, effectively addressing the problem of Nanjing ...