Titlebook: Emerging Trends in Intelligent Systems & Network Security; Mohamed Ben Ahmed,Boudhir Anouar Abdelhakim,Didi R Conference proceedings 2023

blithe

Aspect-Based Sentiment Analysis of Indonesian-Language Hotel Reviews Using Long Short-Term Memory w an analytical model that can comprehensively present the aspects and sentiments in user reviews is required. This study proposes the use of a long short-term memory (LSTM) model with an attention mechanism to perform aspect-based sentiment analysis. The architecture used also implements double full

有惡臭

GEAR

,Classification of?Credit Applicants Using SVM Variants Coupled with?Filter-Based Feature Selection,edit scoring models are extremely important for financial agencies to classify a new applicant, in order to decide whether to approve or reject its credit application. This paper presents a credit scoring model based on SVM variants (.-SVM, .-SVM) combined with two filter feature selection methods,

腐爛

完成

去世

,Combining Static and?Contextual Features: The Case of?English Tweets,n and analysis of users’ feelings, opinions, emotions and reactions to different topics. Pre-trained Neural Language Models (LMs) have yielded outstanding scores on a variety of Natural Language Processing (NLP) related tasks across different languages. In this paper, we propose that the efficiency

Generic-Drug

止痛藥

Cybersecurity Awareness Through Serious Games: A Systematic Literature Review,, and health. This increases the need for more understanding and knowledge of cybersecurity. The worldwide digital system, as well as people’s privacy, are under constant threat in relevant areas such as health, where patients’ data is among the most confidential information. The serious game domain

MIR

入伍儀式