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Exploring the effectiveness of word embedding based deep learning model for improving email classification

Asudani, Deepak Suresh; Nagwani, Naresh Kumar; Singh, … - In: Data Technologies and Applications 56 (2022) 4, pp. 483-505

Representations Transformers (BERT) pre-trained word embedding are used to identify relationships between words, which helps to … experiments compares the deep learning model performance without embedding, GloVe and BERT embedding. The experiments show that … experiment reveals that the CNN model with GloVe embedding gives slightly better accuracy than the model with BERT embedding and …

Persistent link: https://www.econbiz.de/10014712713

Mining the determinants of review helpfulness: a novel approach using intelligent feature engineering and explainable AI

Kim, Jiho; Lee, Hanjun; Lee, Hongchul - In: Data Technologies and Applications 57 (2022) 1, pp. 108-130

techniques including BERT and machine learning models that can classify OCRs according to their potential helpfulness. Moreover …

Persistent link: https://www.econbiz.de/10014712800

Towards the development of an explainable e-commerce fake review index : An attribute analytics approach

Das, Ronnie; Ahmed, Wasim; Sharma, Kshitij; Hardey, Mariann - In: European journal of operational research : EJOR 317 (2024) 2, pp. 382-400

Persistent link: https://www.econbiz.de/10014635807

Natural language processing in accounting, auditing and finance : a synthesis of the literature with a roadmap for future research

Fisher, Ingrid E.; Garnsey, Margaret R.; Hughes, Mark E. - In: Intelligent systems in accounting finance and … 23 (2016) 3, pp. 157-214

Persistent link: https://www.econbiz.de/10011668099

Innovative applications of natural language processing and digital media in theatre and performing arts

Tsioustas, Charalampos; Petratou, Daphne; … - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 6 (2020) 1, pp. 84-96

The objective of our research is to investigate new digital techniques and tools, offering the audience innovative, attractive, enhanced and accessible experiences. The project focuses on performing arts, particularly theatre, aiming at designing, implementing, experimenting and evaluating...

Persistent link: https://www.econbiz.de/10012542917

A question and answering system using natural language processing and deep learning

Nagavi, Trisiladevi C.; Sanjana, K. G.; Mahesha, P. - In: Artificial intelligence enabled management : an …, (pp. 65-83). 2024

Persistent link: https://www.econbiz.de/10014554029

Hidden value : provenance as a source for economic and social history

Rother, Lynn; Mariani, Fabio; Koss, Max - In: Jahrbuch für Wirtschaftsgeschichte 64 (2023) 1, pp. 111-142

Building on the extensive production of provenance data recently, this article explains how we can expand the purview of computational analysis in humanistic and social sciences by exploring how digital methods can be applied to provenances. Provenances document chains of events of ownership and...

Persistent link: https://www.econbiz.de/10014292980

A System for English Vocabulary Acquisition based on Code-Switching

Rzepka, Rafal; Araki, Kenji; Mazur, Michal; Karolczak, … - In: International Journal of Distance Education … 14 (2016) 3, pp. 52-75

Vocabulary plays an important part in second language learning and there are many existing techniques to facilitate word acquisition. One of these methods is code-switching, or mixing the vocabulary of two languages in one sentence. In this paper the authors propose an experimental system for...

Persistent link: https://www.econbiz.de/10012044005

Sustainable Industrial Site Redevelopment Planning Support: A Case-Based Reasoning Approach

Wang, Tong; Han, Qi; de Vries, Bauke - In: International Journal of E-Planning Research (IJEPR) 6 (2017) 2, pp. 39-53

Abandoned industrial sites could be redeveloped in a sustainable way with the help of previous experience. This paper presents a case-based reasoning (CBR) approach to support sustainable industrial site redevelopment. For a target site that needs to be redeveloped, qualitative important key...

Persistent link: https://www.econbiz.de/10012044652

From Citizens to Decision-Makers: A Natural Language Processing Approach in Citizens' Participation

Boukchina, Eya; Mellouli, Sehl; Menif, Emna - In: International Journal of E-Planning Research (IJEPR) 7 (2018) 2, pp. 20-34

Citizens' participation is a form of democracy in which citizens are part of the decision-making process with regard to the development of their society. In today's emergence of Information and Communication Technologies, citizens can participate in these processes by submitting inputs through...

Persistent link: https://www.econbiz.de/10012044665