Real-Time Twitter Trends Analysis Using Laten...

Real-Time Twitter Trends Analysis Using Latent Dirichlet Allocation and Machine Learning

Author Name : Ayush Ranjan, Sandeep Kumar

DOI: https://doi.org/10.56025/IJARESM.2023.1201241967

ABSTRACT: With the growing usage of social media across the world it has become a wealthy source of information about public opinion, intrests, choices and many more especially twitter on which people can express their opinion their intrests in the form of tweets about a particular product, event or topic. This data can be used to perform sentiment analysis and can be used to extract meaningful insights from it eg., people’s opinion or sentiment on a particular event, product or topic etc. But this data is highly unstructured and contains noisy data etc., which is needed to be cleaned and pre-processed for further operations like to perform sentiment analysis , together meaningful and effective insights from it.