Self voting classification model for online meeting app review sentiment analysis and topic modeling

ABSTRACT: Online meeting applications (apps) have emerged as a potential solution for conferencing, education and meetings, etc. during the COVID-19 outbreak and are used by private companies and governments alike. A large number of such apps compete with each other by providing a different set of functions towards users’ satisfaction. These apps take users’ feedback in the form of opinions and reviews which are later used to improve the quality of services. Sentiment analysis serves as the key function to obtain and analyze users’ sentiments from the posted feedback indicating the importance of efficient and accurate sentiment analysis. This study proposes the novel idea of self voting classification (SVC) where multiple variants of the same model are trained using different feature extraction appr

SUBMITTER: Aslam N 

PROVIDER: S-EPMC10280218 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature