From Surveillance to Sentencing: Evaluating AI's Role in Indian Criminal Justice by Kumar Navin

“…Technologies such as predictive policing, facial recognition, natural language processing, and data analytics offer the potential for faster response times, higher accuracy, and improved investigative outcomes. …”
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What Competences Does the Regional Market of IT Specialists Want? Development and Approbation of Technology for Analysis of Current Vacancies in the Labor Market by A. E. Shukhman, L. S. Grishina, L. L. Legashev, D. I. Parfenov

“…Modern machine learning techniques such as Natural Language Processing can be used for automatic position selection based on skills in vacancies. …”
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Discovering Representations of Democracy in Big Data: Purposive Semantic Sample Selection for Qualitative and Mixed-Methods Research by Hubert Plisiecki, Agnieszka Kwiatkowska

“…To address this, we propose purposive semantic sampling – a Natural Language Processing approach using document-level embeddings created by a weighted average of word vectors with term frequency-inverse document frequency (tf-idf). …”
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Social presence effect in language comprehension: evidence from event-related potential (ERP) research by Teng Yu, Xue Sui, Yu tong Li

“…These findings support the notion that social context affects language processing.…”
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What can knowledge graph do for few-shot named entity recognition by Binling Nie, Yiming Shao, Yigang Wang

“…Recent studies have highlighted the potential of knowledge graphs (KGs) in enhancing natural language processing (NLP) tasks. However, a comprehensive understanding of whether and how KGs can effectively improve the NER performance under low-resource conditions remains elusive. …”
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Exploring the Applications of Artificial Intelligence in Marketing: A Topic Modelling Analysis by Paulo Rita, Wajdy Omran, Ricardo F. Ramos, Tânia Costa

“…The findings suggest trends in research topics of Learning Models, Expert Systems, Natural Language Processing, Social Media, and Consumer Centricity. …”
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Investigating gender and racial-ethnic biases in sentiment analysis of language by Steven Zhou, Arushi Srivastava

“…Recently, there has been an increase in text analysis and natural language processing for both research and applied practice, especially to quantify emotions in language (i.e. sentiment analysis). …”
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The interaction of parsing rules and argument – Predicate constructions: implications for the structure of the Grammaticon in FunGramKB by María del Carmen Fumero Pérez, Ana Díaz Galán

“…The Functional Grammar Knowledge Base (FunGramKB), (Periñán-Pascual and Arcas-Túnez 2010) is a multipurpose lexico-conceptual knowledge base designed to be used in different Natural Language Processing (NLP) tasks. It is complemented with the ARTEMIS (Automatically Representing Text Meaning via an Interlingua–based System) application, a parsing device linguistically grounded on Role and Reference Grammar (RRG) that transduces natural language fragments into their corresponding grammatical and semantic structures. …”
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A systematic assessment of sentiment analysis models on iraqi dialect-based texts by Hafedh Hameed Hussein, Amir Lakizadeh

“…Sentiment Analysis (SA) uses natural language processing (NLP) to interpret these opinions from text. …”
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The AI Act in a law enforcement context: The case of automatic speech recognition for transcribing investigative interviews by Radina Stoykova, Kyle Porter, Thomas Beka

“…In order to automate and improve efficiency in the transcription of such interviews, applied research explores artificial intelligence models, including Automatic Speech Recognition (ASR) and Natural Language Processing. While AI models can improve efficiency in criminal investigations, their successful implementation requires evaluation of legal and technical risks.This paper explores the legal and technical challenges of applying ASR models to investigative interviews in the context of the European Union Artificial Intelligence Act (AIA). …”
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ChatGPT Applications in Nursing: Current Status and Future Perspectives by Wenli Peng, Xinhua Cheng, Jili Deng, Xian Zhang

“…ABSTRACT Aim With the rapid advancement of generative artificial intelligence technologies, natural language processing tools represented by ChatGPT have been increasingly used. …”
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Image captioning in Bengali language using visual attention. by Adiba Masud, Md Biplob Hosen, Md Habibullah, Mehrin Anannya, M Shamim Kaiser

“…Automatically generating image captions poses one of the most challenging applications within artificial intelligence due to its integration of computer vision and natural language processing algorithms. This task becomes notably more formidable when dealing with a language as intricate as Bengali and the overall scarcity of Bengali-captioned image databases. …”
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Sentiment analysis of social media discourse on public perception of online courier services in Saudi Arabia using machine learning by Mohamed Shenify

“…This paper presents a sentiment analysis on online couriers in Saudi Arabia using natural language processing techniques combined with Decision Tree and Support Vector Machine (SVM) classifiers of machine learning. …”
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Optimization Of Digital Library Services Using Artificial Intelligence (Ai): Approach To Green Library by Aghesna Rahmatika Kesuma, Julian Hadi Saputra, Eni Amaliah, Rahmat Iqbal

“…The study's findings demonstrate that AI, encompassing natural language processing (NLP) search systems and chatbots, enhances the speed and accuracy of services while reducing reliance on printed materials and energy consumption. …”
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Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework by He Jinliang, Mei Aohan

“…Humor generation presents significant challenges in the field of natural language processing, primarily due to its reliance on cultural backgrounds and subjective interpretations. …”
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Development of an intelligent virtual assistant for digitalization of Moroccan agriculture by Iounousse Jawad, Temsamani Omar

“…This included natural language processing, intent recognition, and response generation tailored to the nuances of Darija. …”
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Addressing Activation Outliers in LLMs: A Systematic Review of Post-Training Quantization Techniques by Patrik Czako, Gabor Kertesz, Sandor Szenasi

“…Large Language Models (LLMs) have transformed natural language processing, yet their deployment remains challenging due to substantial computational, memory, and energy demands. …”
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Bridging resource gaps in cross-lingual sentiment analysis: adaptive self-alignment with data augmentation and transfer learning by Li Chen, Shifeng Shang, Yawen Wang

“…With robust domain adaptation capabilities and strong potential for real-world industrial applications, this research establishes a new benchmark for multilingual sentiment analysis, advancing the development of more inclusive and equitable natural language processing solutions.…”
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Prompt Tuning Techniques for Chinese Idiom Recommendation by Shun-Ming Wang, I-Fang Su, Yu-Chi Chung

“…Chinese idioms pose significant challenges in natural language processing (NLP) due to their complex, non-compositional nature and frequent embedded cultural and historical meanings. …”
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How hot is .brussels? Analysis of the uptake of the .brussels top-level domain name extension by Margot Waty, Seth van Hooland, Simon Hengchen, Mathias Coeckelbergs, Max De Wilde, Jean-Michel Decroly

“…By making use of freely available software tools such as OpenRefine and Natural Language Processing (NLP) methods, the entire corpus of the .brussels domain names (6 300) was analysed from a quantitative perspective. …”
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