Convolution neural network based Discrete Social Sharing Emotions on Covid-19
G. Saritha, S. Famitha, P. Malathi, A. Priyadharshini, Sai Keerthana Arun, S. Padmapriya · 2022 8th International Conference on Smart Structures and Systems (ICSSS) · 2022
Recently, many micro blogs are used by people to share their perspective and opinions instantly. In this updating world, each and everyone's view is very important to implement any social projects, solve social issues etc. So, we came with discrete sharing Emotions on Covid-19 using deep learning, which is a subfield of artificial intelligence and gives continuous quality improvement in a large and complex process. In this study, we use Latent Dirichlet Allocation to do topic modelling on the COVID-19 Open Research Dataset (CORD-19). The CORD-19 data is the biggest collection of coronavirus studies to date, making it difficult to gain a full understanding of the dataset. This is when topic modelling might come in handy. In general, topic modelling relates to the procedure of building a predictive method characterising the probability of topics to a dataset. LDA is a type of unsupervised generating mode. This paper is an effective means of discovering the polarity of people's opinions and displaying accurate information. Further the accuracy is also found using CNN and we have achieved 81% of accuracy. This concept can be implemented in various domains like Finance, Medicine, public actions to predict the values and worth of their products or projects among the people to enhance their further process.