Evaluation of an Arabic chatbot based on extractive question-answering transfer learning and language transformers

TN Alruqi, SM Alzahrani - AI, 2023 - mdpi.com
Chatbots are programs with the ability to understand and respond to natural language in a
way that is both informative and engaging. This study explored the current trends of using …

An improved chatbot for medical assistance using machine learning

R Reshma - 2022 International Conference on Inventive …, 2022 - ieeexplore.ieee.org
In most cases, users are unaware of all treatment options or symptoms related to a specific
illness. For small difficulties, the user must go straight to the hospital for a checkup, which …

Implementasi Model Long-Short Term Memory (LSTM) pada Klasifikasi Teks Data SMS Spam Berbahasa Indonesia

ED Pratama - The Journal on Machine Learning and …, 2022 - jmlci.unesa.ac.id
Di Tahun 2022, tercatat penggunaan internet masyarakat Indonesia sebesar 73.7% dari
total populasi untuk aktivitas sehari-hari. Internet telah membawa kemudahan bagi …

[PDF][PDF] Improving chatbot performance using hybrid deep learning approach

P Naveen, SC Haw, D Nadthan… - Journal of System and …, 2023 - aasmr.org
A chatbot is a computer program that is implemented to communicate with clients via natural
language. Suruhanjaya Syarikat Malaysia (SSM) is a Malaysian statutory authority that …

An optimal weighted combined model coupled with feature reconstruction and deep learning for multivariate stock index forecasting

J Wang, Y Liao, Z Zhuang, D Gao - Mathematics, 2021 - mdpi.com
Stock index prediction plays an important role in the creation of better investment strategies.
However, prediction can be difficult due to the random fluctuation of financial time series. In …

Reducing carbon emissions in the architectural design process via transformer with cross-attention mechanism

HD Li, X Yang, HL Zhu - Frontiers in Ecology and Evolution, 2023 - frontiersin.org
Introduction The construction industry is one of the world's largest carbon emitters,
accounting for around 40% of total emissions. Therefore, reducing carbon emissions from …

Understanding the performance of AI algorithms in Text-Based Emotion Detection for Conversational Agents

SD Kusal, SG Patil, J Choudrie… - ACM Transactions on …, 2024 - dl.acm.org
Current industry trends demand automation in every aspect, where machines could replace
humans. Recent advancements in conversational agents have grabbed a lot of attention …

Navbot—College Navigation Chatbot Using Deep Neural Network

M Sobhana, A Yamini, K Hindu… - IoT Based Control …, 2022 - Springer
In terms of size, college campuses are massive. It is an uphill task to identify in which block a
particular room is located or where the block is located within the campus. A chatbot has …

Affective computing: an introduction to the detection, measurement, and current applications

G Gaudi, B Kapralos, KC Collins, A Quevedo - Advances in Artificial …, 2022 - Springer
Affective computing aims to design and develop natural human-user interfaces that respond
to the emotional needs of the user, bridging the gap between humans and technology. With …

Crafting ASR and Conversational Models for an Agriculture Chatbot

A Po Shun Chen, C Wu Liu - Proceedings of the 2021 4th International …, 2021 - dl.acm.org
In recent years, artificial intelligence chatbots have attracted more and more attention. The
stability and accuracy of automatic speech recognition (ASR) have been improved, making …