Multimodal sentiment analysis: a survey of methods, trends, and challenges

R Das, TD Singh - ACM Computing Surveys, 2023 - dl.acm.org
Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …

A review on classification of imbalanced data for wireless sensor networks

H Patel, D Singh Rajput… - International …, 2020 - journals.sagepub.com
Classification of imbalanced data is a vastly explored issue of the last and present decade
and still keeps the same importance because data are an essential term today and it …

Enhancement of detection of diabetic retinopathy using Harris hawks optimization with deep learning model

N Gundluru, DS Rajput, K Lakshmanna… - Computational …, 2022 - Wiley Online Library
In today's world, diabetic retinopathy is a very severe health issue, which is affecting many
humans of different age groups. Due to the high levels of blood sugar, the minuscule blood …

Sentiment analysis of COVID-19 social media data through machine learning

D Dangi, DK Dixit, A Bhagat - Multimedia tools and applications, 2022 - Springer
Pandemics are a severe threat to lives in the universe and our universe encounters several
pandemics till now. COVID-19 is one of them, which is a viral infectious disease that …

[PDF][PDF] Unstructured Oncological Image Cluster Identification Using Improved Unsupervised Clustering Techniques.

SS Kumar, ST Ahmed, Q Xin, S Sandeep… - … Materials & Continua, 2022 - cdn.techscience.cn
This paper presents, a new approach of Medical Image Pixels Clustering (MIPC), aims to
trace the dissimilar patterns over the Magnetic Resonance (MR) image through the process …

Liver disorder detection using variable-neighbor weighted fuzzy K nearest neighbor approach

P Kumar, RS Thakur - Multimedia Tools and Applications, 2021 - Springer
The human liver disorder is a genetic problem due to the habituality of alcohol or effect by
the virus. It can lead to liver failure or liver cancer, if not been detected in initial stage. The …

Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model

V Kumar - Scientific Reports, 2022 - nature.com
India is a hotspot of the COVID-19 crisis. During the first wave, several lockdowns (L) and
gradual unlock (UL) phases were implemented by the government of India (GOI) to curb the …

A review on the significance of machine learning for data analysis in big data

VK Vishnu, DS Rajput - Jordanian Journal of Computers and …, 2020 - search.proquest.com
Big data revolution is changing the lifestyle in terms of working and thinking environments
through facilitating improvement in vision finding and decision-making. But, big data …

The impact of big data in predictive analytics towards technological development in cloud computing

KK Mohbey, S Kumar - International Journal of Engineering …, 2022 - inderscienceonline.com
Presently, we are living in a world of data. More than 2.5 quintillion bytes of data are
generated everyday. The volume of data from different sources and in various forms can be …

Sentiment Prediction of Textual Data Using Hybrid ConvBidirectional‐LSTM Model

D Mahto, SC Yadav, GS Lalotra - Mobile Information Systems, 2022 - Wiley Online Library
With the emergence of social media platforms, most people have changed their way of
interacting. Perhaps, sharing day‐to‐day lifestyle updates is a trend substantially influenced …