Search Results - subject:"Knowledge Extraction"

Knowledge extraction by integrating emojis with text from online reviews

Lin, Kuoyi; Kan, Xiaoyang; Liu, Meilian - In: Journal of knowledge management 28 (2024) 9, pp. 2712-2728

Persistent link: https://www.econbiz.de/10015323971

Knowledge extraction by integrating emojis with text from online reviews

Lin, Kuoyi; Kan, Xiaoyang; Liu, Meilian - In: Journal of Knowledge Management 28 (2024) 9, pp. 2712-2728

a more nuanced understanding of user preferences, thereby enhancing the accuracy and depth of knowledge extraction from … methodology to integrate and analyze text and emojis from online reviews for effective knowledge extraction, focusing on user … nuanced framework for knowledge extraction from online reviews, capturing both explicit and implicit sentiments expressed by …

Persistent link: https://www.econbiz.de/10015351374

Digitalising the systematic literature review process : the MySLR platform

Ammirato, Salvatore; Felicetti, Alberto M.; Rogano, Daniele - In: Knowledge management research & practice : KMRP ; an … 21 (2023) 4, pp. 777-794

Persistent link: https://www.econbiz.de/10014330913

A Multi-Label Machine Learning Approach to Support Pathologist's Histological Analysis

Azzini, Antonia; Cortesi, Nicola; Marrara, Stefania; … - 2019

This paper proposes a new tool in the field of telemedicine, defined as a specific branch where IT supports medicine, in case distance impairs the proper care to be delivered to a patient. All the information contained into medical texts, if properly extracted, may be suitable for searching,...

Persistent link: https://www.econbiz.de/10012141490

Comparing data-driven methods for extracting knowledge from user generated content

Saura, José Ramón; Reyes-Menendez, Ana; Filipe, Ferrão - In: Journal of Open Innovation: Technology, Market, and … 5 (2019) 4, pp. 1-19

This study aimed to compare two techniques of business knowledge extraction for the identification of insights related … generated content (UGC) from Twitter using two methods based on knowledge extraction techniques for business. In Method 1, an … developed for knowledge extraction that included the application of a latent Dirichlet allocation (LDA) model, a sentiment …

Persistent link: https://www.econbiz.de/10012620307

Comparing data-driven methods for extracting knowledge from user generated content

Saura, José Ramón; Reyes-Menendez, Ana; Filipe, Ferrão - In: Journal of open innovation : technology, market, and … 5 (2019) 4/74, pp. 1-19

Persistent link: https://www.econbiz.de/10012126337

A multi-label machine learning approach to support pathologist's histological analysis

Azzini, Antonia; Cortesi, Nicola; Marrara, Stefania; … - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 5 (2019) 1, pp. 197-208

Persistent link: https://www.econbiz.de/10012221872

Use of information and communication technologies to support knowledge sharing in development organisations

Gatiti, Peter - In: International journal of knowledge management studies : … 13 (2022) 4, pp. 384-401

Persistent link: https://www.econbiz.de/10013419596

A Model of Self-sustaining Automatic Corporate E-learning system

Bačun, Dinko; Lebarović, Nives Bačun - 2018

Challenging and volatile economic environment forced enterprises to seek alternative ways to optimize the cost and time needed to train their employees in adoption of new skills and technologies. Effective training shortens the time new skills are applied in practice, which results in shorter...

Persistent link: https://www.econbiz.de/10011866742

A model of self-sustaining automatic corporate E-learning system

Bačun, Dinko; Lebarović, Nives Bačun - In: New business models and institutional entrepreneurs : …, (pp. 508-523). 2018

Persistent link: https://www.econbiz.de/10011939518