Structural review of relics tourism by text mining and machine learning

S Das, S Mondal, V Puri, V Vrana - Journal of Tourism, Heritage & …, 2022 - papers.ssrn.com
Purpose: The objective of the paper is to find trends of research in relic tourism-related
topics. Specifically, this paper uncovers all published studies having latent issues with the …

The evolution of Airbnb research: A systematic literature review using structural topic modeling

K Ding, Y Niu, WC Choo - Heliyon, 2023 - cell.com
This study employs advanced text-mining techniques to offer an in-depth and
comprehensive overview of the extensive body of research on Airbnb. By analyzing 1021 …

Blockchain propels tourism industry—an attempt to explore topics and information in smart tourism management through text mining and machine learning

V Puri, S Mondal, S Das, VG Vrana - Informatics, 2023 - mdpi.com
Blockchain and immersive technology are the pioneers in bringing digitalization to tourism,
and researchers worldwide are exploring many facets of these techniques. This paper …

Ternion: An autonomous model for fake news detection

N Islam, A Shaikh, A Qaiser, Y Asiri, S Almakdi… - Applied Sciences, 2021 - mdpi.com
In recent years, the consumption of social media content to keep up with global news and to
verify its authenticity has become a considerable challenge. Social media enables us to …

[HTML][HTML] Sustainable Brand Reputation: Evaluation of iPhone Customer Reviews with Machine Learning and Sentiment Analysis

M Kayakuş, F Yiğit Açikgöz, MN Dinca, O Kabas - Sustainability, 2024 - mdpi.com
Brand reputation directly influences customer trust and decision-making. A good reputation
can lead to greater customer loyalty, commitment, and advocacy. This study aims to …

Novel GCN Model Using Dense Connection and Attention Mechanism for Text Classification

Y Peng, W Wu, J Ren, X Yu - Neural Processing Letters, 2024 - Springer
Abstract Convolutional Neural Network (CNN) or Recurrent Neural Network (RNN) based
text classification algorithms currently in use can successfully extract local textual features …

LSTM-SN: complex text classifying with LSTM fusion social network

W Wei, X Li, B Zhang, L Li, R Damaševičius… - The Journal of …, 2023 - Springer
Whether it is an NLP (natural language processing) task or an NLU (natural language
understanding) task, many methods are model oriented, ignoring the importance of data …

Application optimization of NLP system under deep learning technology in text semantics and text classification

G Jin - 2022 International Conference on Education, Network …, 2022 - ieeexplore.ieee.org
How to use advanced deep learning technology to build an effective and powerful text
classification model, extract text semantic attributes and achieve good classification results …

[PDF][PDF] El siglo constitucional: continuidades y rupturas

A Mascareño, J Rozas - Centro de Estudios Públicos, Puntos de …, 2023 - static.cepchile.cl
Con la propuesta de la Comisión Experta se abre un nuevo episodio en el proceso
constitucional en el que se encuentra Chile desde noviembre de 2019. Este concluirá con la …

Privacy BERT-LSTM: a novel NLP algorithm for sensitive information detection in textual documents

J Muralitharan, C Arumugam - Neural Computing and Applications, 2024 - Springer
In this modern digital era, the increasing volume of textual data and the widespread
adoption of natural language processing (NLP) techniques have presented a critical …