[HTML][HTML] How can we manage offensive text in social media-a text classification approach using LSTM-BOOST
Recently, offensive content has become increasingly popular for harassing and criticizing
people on numerous social media platforms. This paper proposes an offensive text …
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
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 …
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 …
knowledge, which makes it difficult to process texts for further analysis. One of the major …
Help Them Understand: Testing and Improving Voice User Interfaces
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 …
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
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 …
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 …
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 …
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 …
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 …
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
Chatbot technology, a rapidly growing field, uses Natural Language Processing (NLP)
methodologies to create conversational AI bots. Contextual understanding is essential for …
methodologies to create conversational AI bots. Contextual understanding is essential for …