Nirmalya Thakur
Orcid: 0000-0002-3225-1870
According to our database1,
Nirmalya Thakur
authored at least 62 papers
between 2018 and 2024.
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Bibliography
2024
Investigation of the Global Fear Associated with COVID-19 Using Subjectivity Analysis and Deep Learning.
Comput., June, 2024
A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and other Sources about the 2024 Outbreak of Measles.
Dataset, June, 2024
Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis.
Comput., February, 2024
Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis.
CoRR, 2024
Mpox Narrative on Instagram: A Labeled Multilingual Dataset of Instagram Posts on Mpox for Sentiment, Hate Speech, and Anxiety Analysis.
CoRR, 2024
A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles.
CoRR, 2024
A Labeled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources About the 2024 Outbreak of Measles.
Proceedings of the HCI International 2024 - Late Breaking Papers, 2024
Proceedings of the HCI International 2024 Posters, 2024
Emoji Retrieval from Gibberish or Garbled Social Media Text: A Novel Methodology and a Case Study.
Proceedings of the HCI International 2024 - Late Breaking Papers, 2024
2023
Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior.
Comput., November, 2023
Marburg Virus Outbreak and a New Conspiracy Theory: Dataset of Search Interests from 216 Regions.
Dataset, November, 2023
Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis.
Comput., October, 2023
Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets.
Comput., September, 2023
Dataset, August, 2023
Dataset, April, 2023
A Comprehensive Analysis and Investigation of the Public Discourse on Twitter about Exoskeletons from 2017 to 2023.
Future Internet, 2023
A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions.
Data, 2023
Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox.
Big Data Cogn. Comput., 2023
Mining and Analysis of Search Interests Related to Online Learning Platforms from Different Countries Since the Beginning of COVID-19.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023
Analysis of User Diversity-Based Patterns of Public Discourse on Twitter About Mental Health in the Context of Online Learning During COVID-19.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023
2022
MonkeyPox2022Tweets: A Large-Scale Twitter Dataset on the 2022 Monkeypox Outbreak, Findings from Analysis of Tweets, and Open Research Questions.
Dataset, November, 2022
Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions.
Dataset, October, 2022
A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave.
Dataset, August, 2022
Twitter Conversations about the COVID-19 Omicron Variant: A Large Scale Dataset of more than 500,000 Tweets.
Dataset, July, 2022
Online Learning Global Queries Dataset: A Comprehensive Dataset of What People from Different Countries ask Google about Online Learning.
Dataset, May, 2022
Dataset, May, 2022
A Dataset on Online Learning-based Web Behavior from Different Countries Before and After COVID-19.
Dataset, April, 2022
A Simplistic and Cost-Effective Design for Real-World Development of an Ambient Assisted Living System for Fall Detection and Indoor Localization: Proof-of-Concept.
Inf., 2022
A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave.
Data, 2022
An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection.
CoRR, 2022
An Approach to Investigate Public Opinion, Views, and Perspectives Towards Exoskeleton Technology.
CoRR, 2022
CoRR, 2022
Trends in Remote Learning-based Google Shopping in the United States due to COVID-19.
CoRR, 2022
Investigating the Emergence of Online Learning in Different Countries using the 5 W's and 1 H Approach.
CoRR, 2022
A Comprehensive Study to Analyze Trends in Web Search Interests Related to Fall Detection Before and After COVID-19.
Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022
2021
A Study of Fall Detection in Assisted Living: Identifying and Improving the Optimal Machine Learning Method.
J. Sens. Actuator Networks, 2021
Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes.
Inf., 2021
An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments.
Inf., 2021
Country-Specific Interests towards Fall Detection from 2004-2021: An Open Access Dataset and Research Questions.
Data, 2021
CoRR, 2021
Framework for A Personalized Intelligent Assistant to Elderly People for Activities of Daily Living.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments.
Big Data Cogn. Comput., 2021
Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach.
Adv. Artif. Intell. Mach. Learn., 2021
Google Trends to Investigate the Degree of Global Interest Related to Indoor Location Detection.
Proceedings of the Human Interaction, Emerging Technologies and Future Systems V, 2021
Proceedings of the Human Interaction, Emerging Technologies and Future Systems V, 2021
Proceedings of the Human Interaction, Emerging Technologies and Future Systems V, 2021
Proceedings of the DSIT 2021: 4th International Conference on Data Science and Information Technology, Shanghai, China, July 23, 2021
2020
A Framework for Facilitating Human-Human Interactions to Mitigate Loneliness in Elderly.
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020
A Multilayered Contextually Intelligent Activity Recognition Framework for Smart Home.
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020
Proceedings of the HCI International 2020 - Late Breaking Papers: Universal Access and Inclusive Design, 2020
Proceedings of the HCI International 2020 - Late Breaking Papers: Universal Access and Inclusive Design, 2020
2019
Proceedings of the Reuse in the Big Data Era, 2019
2018
Methodology for forecasting user experience for smart and assisted living in affect aware systems.
Proceedings of the 8th International Conference on the Internet of Things, 2018
An approach to analyze the social acceptance of virtual assistants by elderly people.
Proceedings of the 8th International Conference on the Internet of Things, 2018
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018
Proceedings of the IEEE 5G World Forum, 2018