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Nirmalya Thakur
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2020 – today
- 2024
- [j17]Nirmalya Thakur
, Shuqi Cui
Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis. Comput. 12(2): 28 (2024) - [j16]Nirmalya Thakur
Investigation of the Global Fear Associated with COVID-19 Using Subjectivity Analysis and Deep Learning. Comput. 12(6): 118 (2024) - [c20]Kesha A. Patel
Dissemination of Misinformation About COVID-19 on TikTok: A Multimodal Analysis. HCI (61) 2024: 109-120 - [d11]Nirmalya Thakur, Vanessa Su, Mingchen Shao, Kesha A. Patel, Hongseok Jeong, Victoria Knieling, Andrew Bian:
A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and other Sources about the 2024 Outbreak of Measles. IEEE DataPort, 2024 - [i21]Nirmalya Thakur, Vanessa Su, Mingchen Shao, Kesha A. Patel, Hongseok Jeong, Victoria Knieling, Andrew Bian:
A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles. CoRR abs/2406.07693 (2024) - [i20]Nirmalya Thakur:
Mpox Narrative on Instagram: A Labeled Multilingual Dataset of Instagram Posts on Mpox for Sentiment, Hate Speech, and Anxiety Analysis. CoRR abs/2409.05292 (2024) - [i19]Nirmalya Thakur:
Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis. CoRR abs/2410.03293 (2024) - 2023
- [j15]Nirmalya Thakur
Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox. Big Data Cogn. Comput. 7(2): 116 (2023) - [j14]Nirmalya Thakur
Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior. Comput. 11(11): 234 (2023) - [j13]Nirmalya Thakur
Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets. Comput. 12(10): 191 (2023) - [j12]Nirmalya Thakur
Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis. Comput. 12(11): 221 (2023) - [j11]Nirmalya Thakur
A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions. Data 8(11): 163 (2023) - [j10]Nirmalya Thakur
A Comprehensive Analysis and Investigation of the Public Discourse on Twitter about Exoskeletons from 2017 to 2023. Future Internet 15(10): 346 (2023) - [j9]Nirmalya Thakur
Social Media Mining and Analysis: A Brief Review of Recent Challenges. Inf. 14(9): 484 (2023) - [c19]Nirmalya Thakur, Karam Khanna, Shuqi Cui, Nazif Azizi, Zihui Liu:
Mining and Analysis of Search Interests Related to Online Learning Platforms from Different Countries Since the Beginning of COVID-19. HCI (54) 2023: 280-307 - [c18]Nirmalya Thakur, Hazel Cho, Haokun Cheng, Hyunji Lee:
Analysis of User Diversity-Based Patterns of Public Discourse on Twitter About Mental Health in the Context of Online Learning During COVID-19. HCI (50) 2023: 367-389 - [d10]Karam Khanna, Nirmalya Thakur, Shuqi Cui, Nazif Azizi, Zihui Liu:
Search Interests related to Online Learning Platforms from Different Countries. IEEE DataPort, 2023 - [d9]Nirmalya Thakur, Shuqi Cui, Kesha A. Patel, Nazif Azizi, Victoria Knieling, Changhee Han, Audrey Poon, Rishika Shah:
Marburg Virus Outbreak and a New Conspiracy Theory: Dataset of Search Interests from 216 Regions. IEEE DataPort, 2023 - [d8]Nirmalya Thakur
Search Interests related to Disease X originating from different Geographic Regions. IEEE DataPort, 2023 - [i18]Nirmalya Thakur:
Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox. CoRR abs/2312.10580 (2023) - [i17]Nirmalya Thakur, Shuqi Cui, Kesha A. Patel, Isabella Hall, Yuvraj Nihal Duggal:
A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions. CoRR abs/2312.11885 (2023) - [i16]Nirmalya Thakur, Yuvraj Nihal Duggal, Zihui Liu:
Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets. CoRR abs/2312.11895 (2023) - 2022
- [j8]Nirmalya Thakur
A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave. Data 7(8): 109 (2022) - [j7]Nirmalya Thakur
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. 13(8): 363 (2022) - [c17]Nirmalya Thakur
A Comprehensive Study to Analyze Trends in Web Search Interests Related to Fall Detection Before and After COVID-19. CSSE 2022: 707-712 - [d7]Nirmalya Thakur
Twitter Conversations about the COVID-19 Omicron Variant: A Large Scale Dataset of more than 500,000 Tweets. IEEE DataPort, 2022 - [d6]Nirmalya Thakur
A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave. IEEE DataPort, 2022 - [d5]Nirmalya Thakur
MonkeyPox2022Tweets: A Large-Scale Twitter Dataset on the 2022 Monkeypox Outbreak, Findings from Analysis of Tweets, and Open Research Questions. IEEE DataPort, 2022 - [d4]Nirmalya Thakur
Dataset of Country-Specific Interests towards Fall Detection from 2004-2021. IEEE DataPort, 2022 - [d3]Nirmalya Thakur
Online Learning Global Queries Dataset: A Comprehensive Dataset of What People from Different Countries ask Google about Online Learning. IEEE DataPort, 2022 - [d2]Nirmalya Thakur
Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions. IEEE DataPort, 2022 - [d1]Nirmalya Thakur
A Dataset on Online Learning-based Web Behavior from Different Countries Before and After COVID-19. IEEE DataPort, 2022 - [i15]Nirmalya Thakur, Isabella Hall, Chia Y. Han:
Investigating the Emergence of Online Learning in Different Countries using the 5 W's and 1 H Approach. CoRR abs/2204.12650 (2022) - [i14]Isabella Hall, Nirmalya Thakur, Chia Y. Han:
Trends in Remote Learning-based Google Shopping in the United States due to COVID-19. CoRR abs/2204.12654 (2022) - [i13]Nirmalya Thakur, Saumick Pradhan, Chia Y. Han:
Investigating the impact of COVID-19 on Online Learning-based Web Behavior. CoRR abs/2205.01060 (2022) - [i12]Nirmalya Thakur, Cat Luong, Chia Y. Han:
An Approach to Investigate Public Opinion, Views, and Perspectives Towards Exoskeleton Technology. CoRR abs/2205.09151 (2022) - [i11]Nirmalya Thakur, Chia Y. Han:
Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments. CoRR abs/2207.09025 (2022) - [i10]Nirmalya Thakur, Chia Y. Han:
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. CoRR abs/2207.11623 (2022) - [i9]Nirmalya Thakur:
A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave. CoRR abs/2208.07810 (2022) - [i8]Nirmalya Thakur, Chia Y. Han:
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 abs/2208.10252 (2022) - 2021
- [j6]Nirmalya Thakur, Chia Y. Han:
Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach. Adv. Artif. Intell. Mach. Learn. 1(1): 48-65 (2021) - [j5]Nirmalya Thakur
Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments. Big Data Cogn. Comput. 5(3): 42 (2021) - [j4]Nirmalya Thakur
Country-Specific Interests towards Fall Detection from 2004-2021: An Open Access Dataset and Research Questions. Data 6(8): 92 (2021) - [j3]Nirmalya Thakur
An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments. Inf. 12(2): 81 (2021) - [j2]Nirmalya Thakur
Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes. Inf. 12(3): 114 (2021) - [j1]Nirmalya Thakur
A Study of Fall Detection in Assisted Living: Identifying and Improving the Optimal Machine Learning Method. J. Sens. Actuator Networks 10(3): 39 (2021) - [c16]Nirmalya Thakur
Pervasive Activity Logging for Indoor Localization in Smart Homes. DSIT 2021: 246-255 - [c15]Nirmalya Thakur
A Multimodal Approach for Early Detection of Cognitive Impairment from Tweets. IHIET (Paris) 2021: 11-19 - [c14]Nirmalya Thakur
A Human-Human Interaction-Driven Framework to Address Societal Issues. IHIET (Paris) 2021: 563-571 - [c13]Nirmalya Thakur
Google Trends to Investigate the Degree of Global Interest Related to Indoor Location Detection. IHIET (Paris) 2021: 580-588 - [i7]Nirmalya Thakur
Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach. CoRR abs/2106.10331 (2021) - [i6]Nirmalya Thakur, Chia Y. Han:
A Review of Assistive Technologies for Activities of Daily Living of Elderly. CoRR abs/2106.12183 (2021) - [i5]Nirmalya Thakur, Chia Y. Han:
Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People. CoRR abs/2106.15599 (2021) - [i4]Nirmalya Thakur, Chia Y. Han:
Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes. CoRR abs/2106.15606 (2021) - [i3]Nirmalya Thakur, Chia Y. Han:
An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments. CoRR abs/2106.15609 (2021) - [i2]Nirmalya Thakur, Chia Y. Han:
Framework for A Personalized Intelligent Assistant to Elderly People for Activities of Daily Living. CoRR abs/2107.07344 (2021) - [i1]Nirmalya Thakur, Chia Y. Han:
An Open Access Dataset of Tweets related to Exoskeletons and 100 Research Questions. CoRR abs/2111.04476 (2021) - 2020
- [c12]Nirmalya Thakur
A Context Driven Indoor Localization Framework for Assisted Living in Smart Homes. HCI (44) 2020: 387-400 - [c11]Nirmalya Thakur
A Framework for Monitoring Indoor Navigational Hazards and Safety of Elderly. HCI (44) 2020: 737-748 - [c10]Nirmalya Thakur
A Multilayered Contextually Intelligent Activity Recognition Framework for Smart Home. IHIET (Paris) 2020: 278-283 - [c9]Nirmalya Thakur
An Intelligent Ubiquitous Activity Aware Framework for Smart Home. IHIET (Paris) 2020: 296-302 - [c8]Nirmalya Thakur
Towards a Knowledge Base for Activity Recognition of Diverse Users. IHIET (Paris) 2020: 303-308 - [c7]Nirmalya Thakur
Towards a Language for Defining Human Behavior for Complex Activities. IHIET (Paris) 2020: 309-315 - [c6]Nirmalya Thakur
A Framework for Facilitating Human-Human Interactions to Mitigate Loneliness in Elderly. IHIET (Paris) 2020: 322-327
2010 – 2019
- 2019
- [c5]Nirmalya Thakur
An Improved Approach for Complex Activity Recognition in Smart Homes. ICSR 2019: 220-231 - 2018
- [c4]Nirmalya Thakur
An Activity Analysis Model for Enhancing User Experiences in Affect Aware Systems. 5G World Forum 2018: 516-519 - [c3]Nirmalya Thakur
A complex activity based emotion recognition algorithm for affect aware systems. CCWC 2018: 748-753 - [c2]Nirmalya Thakur
An approach to analyze the social acceptance of virtual assistants by elderly people. IOT 2018: 37:1-37:6 - [c1]Nirmalya Thakur
Methodology for forecasting user experience for smart and assisted living in affect aware systems. IOT 2018: 42:1-42:3
Coauthor Index
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last updated on 2024-11-13 23:48 CET by the dblp team
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