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A systematic review and future research agenda on detection of polycystic ovary syndrome (PCOS) with computer-aided techniques
Abstract Polycystic Ovary Syndrome (PCOS) is among the most prevalent endocrinological
abnormalities seen in reproductive female bodies posing serious health hazards. The …
abnormalities seen in reproductive female bodies posing serious health hazards. The …
Assessing and interpreting perceived park accessibility, usability and attractiveness through texts and images from social media
Understanding public perceptions of urban parks is essential for their effective management.
While conventional survey methods are resource-intensive, Social Media Data (SMD) offers …
While conventional survey methods are resource-intensive, Social Media Data (SMD) offers …
Revealing public attitudes toward mobile cabin hospitals during Covid-19 pandemic: Sentiment and topic analyses using social media data in China
The diverse and ambivalent public attitudes toward Mobile Cabin Hospitals (MCHs)
markedly influence MCHs' social sustainability. Conventional studies regarding MCHs' …
markedly influence MCHs' social sustainability. Conventional studies regarding MCHs' …
[HTML][HTML] Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media
F Guo, Z Liu, Q Lu, S Ji, C Zhang - Journal of Medical Internet Research, 2024 - jmir.org
Background The COVID-19 pandemic raised wide concern from all walks of life globally.
Social media platforms became an important channel for information dissemination and an …
Social media platforms became an important channel for information dissemination and an …
Book review sentiment classification in bangla using deep learning and transformer model
GC Sarker, KM Sadat, A Das - 2022 4th International …, 2022 - ieeexplore.ieee.org
Sentiment analysis is the approach detecting different underlying emotions from text data. E-
commerce business is getting popular all over the world, including in Bangla-speaking …
commerce business is getting popular all over the world, including in Bangla-speaking …
An Ensemble ML Model to Predict the Wastage of Food: Towards Achieving the Food Sustainability
MMM Shopnil, A Husna, S Sultana… - … Conference on Next …, 2023 - ieeexplore.ieee.org
Food waste is a major issue in students' hostel or dormitories, where uneaten food often
ends up in the garbage, resulting in economic losses as well as reducing the food sus …
ends up in the garbage, resulting in economic losses as well as reducing the food sus …
Factors affecting mental health of high school students due to COVID-19: An exploratory study
Mental health is one of the most significant factors in the human life span. It also influences
how we interact with people, manage stress, and make good decisions. From childhood and …
how we interact with people, manage stress, and make good decisions. From childhood and …
CovDLCNet: LSTM based deep learning network for multiclass sentiment analysis on COVID-19 public tweets
RK Bania - Multimedia Tools and Applications, 2024 - Springer
The COVID-19 pandemic has profoundly impacted our daily lives, disrupting the usual
course of life as we know it. The persistent and unpredictable nature of the virus outbreak …
course of life as we know it. The persistent and unpredictable nature of the virus outbreak …
Leveraging Machine Learning to Unveil the Critical Role of Geographic Factors in COVID-19 Mortality in Mexico
CE Maldonado-Sifuentes, M Vargas-Santiago… - Computación y …, 2024 - scielo.org.mx
In this paper, we present an in-depth analysis leveraging several renowned machine
learning techniques, including Snap Random Forest, XGBoost, Extra Trees, and Snap …
learning techniques, including Snap Random Forest, XGBoost, Extra Trees, and Snap …
Misinformation or Collaborative Cognition? Examining the Role of Bots in Manipulating Political Thought in Twitter Discourse
SM Ricciardone - 2024 - researchsquare.com
Artificial intelligence (AI) enhances human communication but also complicates information
sharing in online political discourse. This paper empirically investigates AI-generated tweets' …
sharing in online political discourse. This paper empirically investigates AI-generated tweets' …