[HTML][HTML] How can we manage offensive text in social media-a text classification approach using LSTM-BOOST

MAH Wadud, MM Kabir, MF Mridha, MA Ali… - International Journal of …, 2022 - Elsevier
Recently, offensive content has become increasingly popular for harassing and criticizing
people on numerous social media platforms. This paper proposes an offensive text …

[HTML][HTML] Cross-domain aspect detection and categorization using machine learning for aspect-based opinion mining

AF Pathan, C Prakash - … Journal of Information Management Data Insights, 2022 - Elsevier
There is an increase in the development of social media and electronic commerce sites day
by day. In order to express their opinions about the products purchased user's write …

[HTML][HTML] Evolutionary natural-language coreference resolution for sentiment analysis

J Atkinson, A Escudero - … Journal of Information Management Data Insights, 2022 - Elsevier
Communicating messages on social media usually conveys much implicit linguistic
knowledge, which makes it difficult to process texts for further analysis. One of the major …

Help Them Understand: Testing and Improving Voice User Interfaces

E Guglielmi, G Rosa, S Scalabrino, G Bavota… - ACM Transactions on …, 2024 - dl.acm.org
Voice-based virtual assistants are becoming increasingly popular. Such systems provide
frameworks to developers for building custom apps. End-users can interact with such apps …

GIMM: A graph convolutional network-based paraphrase identification model to detecting duplicate questions in QA communities

KP Du, X Zhang, C Gao, R Zhu, Q Nong… - Multimedia Tools and …, 2024 - Springer
Paraphrase Identification (PI) is an important task in Natural Language Processing (NLP),
which aims to detect whether two sentences expressed in various forms are semantically …

[HTML][HTML] Modeling the use of voice based assistant devices (VBADs): A machine learning base an exploratory study using cluster analysis and correspondence …

S Malhotra, K Chaudhary, M Alam - International Journal of Information …, 2022 - Elsevier
There is a growing prevalence of Voice-Based Assistant Devices (VBADs) in our urban lives.
The unique and lively user and interaction experience offered by this smart and Artificial …

An effective deep learning pipeline for improved question classification into bloom's taxonomy's domains

H Sharma, R Mathur, T Chintala… - Education and …, 2023 - Springer
Examination assessments undertaken by educational institutions are pivotal since it is one
of the fundamental steps to determining students' understanding and achievements for a …

[HTML][HTML] Enhancing trust in online grocery shopping through generative AI chatbots

D Chakraborty, AK Kar, S Patre, S Gupta - Journal of Business Research, 2024 - Elsevier
Abstract Generative Artificial Intelligence (GAI) is witnessing a lot of adoption across
industries, but literature is yet to fully document the nuances of these applications. We …

[HTML][HTML] How can generative adversarial networks impact computer generated art? Insights from poetry to melody conversion

S Shahriar, N Al Roken - … Journal of Information Management Data Insights, 2022 - Elsevier
Recent advances in deep learning and generative adversarial networks (GANs), in
particular, has enabled interesting applications including photorealistic image generation …

[HTML][HTML] Evolving Conversations: A Review of Chatbots and Implications in Natural Language Processing for Cultural Heritage Ecosystems

TLM Suryanto, AP Wibawa, H Hariyono… - International Journal of …, 2023 - pubs2.ascee.org
Chatbot technology, a rapidly growing field, uses Natural Language Processing (NLP)
methodologies to create conversational AI bots. Contextual understanding is essential for …