Open AccessLeveraging Cloud Computing and Microservices for Tweet Analysis
Author(s) -
Manoj Kumar Malik,
Harsh S Malkani,
Prinshu Dahiya
Publication year - 2021
Publication title -
international journal of computer science and mobile computing
Language(s) - English
Resource type - Journals
ISSN - 2320-088X
DOI - 10.47760/ijcsmc.2021.v10i11.003
Subject(s) - login , computer science , world wide web , cloud computing , sentiment analysis , social media , microservices , data science , the internet , internet privacy , information retrieval , computer security , artificial intelligence , operating system
Internet has become a platform for online learning, exchanging ideas and sharing opinions. Social networking site like Twitter is a widely used platform where millions of tweets are tweeted every day and most of these tweets never reach their intended audiences and fail fulfill their purposes because they are lost in a huge sea of tweets that are often irrelevant. Analysis of a segment of tweets might not truly reflect the real sentiments of the overall tweets on a topic which is a challenge. To tackle this problem, we introduce efficient techniques with which tweets are extracted, translated and sentiment analysis is performed on both text and images. These results are shown graphically and tabularly with other useful and important data such as username and hashtags used in tweets. For controlled access and security, login and registration features are incorporated.