Nirmalya Thakur

Orcid: 0000-0002-3225-1870

According to our database1, Nirmalya Thakur authored at least 52 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis.
Comput., February, 2024

2023
Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior.
Comput., 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

Search Interests related to Online Learning Platforms from Different Countries.
Dataset, April, 2023

Social Media Mining and Analysis: A Brief Review of Recent Challenges.
Inf., 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 of Country-Specific Interests towards Fall Detection from 2004-2021.
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

Investigating the impact of COVID-19 on Online Learning-based Web Behavior.
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

An Open Access Dataset of Tweets related to Exoskeletons and 100 Research Questions.
CoRR, 2021

Framework for A Personalized Intelligent Assistant to Elderly People for Activities of Daily Living.
CoRR, 2021

Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People.
CoRR, 2021

A Review of Assistive Technologies for Activities of Daily Living of Elderly.
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

A Human-Human Interaction-Driven Framework to Address Societal Issues.
Proceedings of the Human Interaction, Emerging Technologies and Future Systems V, 2021

A Multimodal Approach for Early Detection of Cognitive Impairment from Tweets.
Proceedings of the Human Interaction, Emerging Technologies and Future Systems V, 2021

Pervasive Activity Logging for Indoor Localization in Smart Homes.
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

Towards a Language for Defining Human Behavior for Complex Activities.
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020

Towards a Knowledge Base for Activity Recognition of Diverse Users.
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020

An Intelligent Ubiquitous Activity Aware Framework for Smart Home.
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

A Framework for Monitoring Indoor Navigational Hazards and Safety of Elderly.
Proceedings of the HCI International 2020 - Late Breaking Papers: Universal Access and Inclusive Design, 2020

A Context Driven Indoor Localization Framework for Assisted Living in Smart Homes.
Proceedings of the HCI International 2020 - Late Breaking Papers: Universal Access and Inclusive Design, 2020

2019
An Improved Approach for Complex Activity Recognition in Smart Homes.
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

A complex activity based emotion recognition algorithm for affect aware systems.
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

An Activity Analysis Model for Enhancing User Experiences in Affect Aware Systems.
Proceedings of the IEEE 5G World Forum, 2018


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