A Study the review of Sentiment Analysis of Social Media Data Using Deep Learning | Review Article
In the current years, social media became one of the most important sources of data for different data analytic purposes. One of the most important issues is how to map different trends in social media and define the relation between different groups based on their sentiment or interests. SA, recommendation systems, event tracking, summarization, etc. all rely heavily on it as a component of NLP. The proliferation of social media platforms, the ease with which users can maintain a constant online presence, rise of Web 2.0 have all contributed to a meteoric rise in the volume of digital social media data. Microblogging sites like Twitter, blogs, review collection websites, online forums have been contributing to the large scale of big data.