Results 131 to 140 of about 302,572 (324)

Dijital Pazarlamada Yapay Zekâ Kullanımı: Sohbet Robotu (Chatbot)

Medya ve Kültür, 2022
Teknolojinin gelişmesi ve beraberindeki hızlı dönüşümü ile pazarlama araçları ve stratejilerinde de değişim meydana gelmiştir. Bu süreci şekillendiren dijitalleşmeye ayak uyduran ve onun getirdiği hız kavramıyla değişen tüketicinin istek ve talepleridir.
Murat Üstüner, Yasemin Kuruca, Işıl Şimşek   +2 more
doaj  

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source

Generación y Recuperación de Información Contextualizada: Un Enfoque Avanzado Basado en RAG para el Procesamiento del Lenguaje Natural

Revista Ingeniería, Matemáticas y Ciencias de la Información
Este artículo explora en profundidad la integración de técnicas avanzadas de machine learning mediante la metodología Retrieval Augmented Generation (RAG).
Daniel Leonardo Gonzalez Torres, Ricardo Andres Santa Quintero   +1 more
doaj   +1 more source

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source

Generative AI, ESG Sensemaking, and Environmental Performance: an OIPT Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing enthusiasm for generative artificial intelligence (GenAI) in sustainability management, it remains unclear how such technologies translate vast ESG information into meaningful environmental outcomes. This study addresses this gap by investigating how ESG sensemaking capability mediates the relationship between GenAI integration
Surajit Bag, Gautam Srivastava, Susmi Routray, Andrea Chiarini   +3 more
wiley   +1 more source

Graph Model for Detection of text unstructured data such as Sarcasm

Latin-American Journal of Computing, 2021
Sarcasm is frequently characterized as verbal incongruity to communicate scorn. It is a nuanced type of language with which people express something contrary to what is suggested. Perhaps the greatest test in building frameworks to consequently recognize
Axel Rodríguez-García, Armando Jipsion
doaj  

Reporting What Matters, or Reporting What Looks Good? Materiality and Balance in Post–Rana Plaza Apparel Sustainability Disclosure

Business Strategy and the Environment, EarlyView.
ABSTRACT Sustainability reports (SRs) are widely criticized for vague disclosures and selective emphasis on positive outcomes, yet systematic research on two core SR challenges remains limited: materiality (whether disclosed content is relevant) and balance (whether both achievements and challenges are reported).
Mahsa Mohammadrezaei, José Carlos Marques   +1 more
wiley   +1 more source

Bridging Academic Research and Business Practices at the Crossroad of Circular Economy and the SDGs

Business Strategy and the Environment, EarlyView.
ABSTRACT The global shift toward sustainability has amplified interest in the Circular Economy, which aims to optimize resource use and minimize waste. In parallel, the Sustainable Development Goals (SDGs) provide a universal framework for addressing social, environmental, and economic challenges.
Corentin Juin, Andrea Nicolodi
wiley   +1 more source

SENTENCE REPRESENTATION USING LSTM FOR FINDING QUESTION

Tạp chí Khoa học
Learning sentence representation with the full semantics of a document is a challenge in natural language processing problems because if the semantic representation vector of the sentence is suitable, it will increase the performance of finding similar ...
Dinh Khanh Linh, Tran Quang Huy
doaj   +1 more source

NLP and Artificial Intelligence Techniques used in Structuring Medical Texts

Applied Medical Informatics, 2021
Information and medical data are both structured and unstructured. Most structured information is available in English. Various databases with structured information have been created and are easily included in medical applications or used by physicians ...
Oana Sorina CHIRILA, Lăcrămioara STOICU-TIVADAR   +1 more
doaj