In machine learning, two approaches outperform traditional algorithms: ensemble learning
and deep learning. The former refers to methods that integrate multiple base models in the …

Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …

COVID-19 originally known as Corona VIrus Disease of 2019, has been declared as a
pandemic by World Health Organization (WHO) on 11th March 2020. Unprecedented …

Along with the emergence of the Internet, the rapid development of handheld devices has
democratized content creation due to the extensive use of social media and has resulted in …

Over the last decade Deep learning-based models surpasses classical machine learning
models in a variety of text classification tasks. The primary challenge with text classification …

Twitter sentiment analysis technology provides the methods to survey public emotion about
the events or products related to them. Most of the current researches are focusing on …

Deep learning techniques for Sentiment Analysis have become very popular. They provide
automatic feature extraction and both richer representation capabilities and better …

Deep Learning and Big Data analytics are two focal points of data science. Deep Learning
models have achieved remarkable results in speech recognition and computer vision in …

Automatic keyword extraction is an important research direction in text mining, natural
language processing and information retrieval. Keyword extraction enables us to represent …

The proliferation of user-generated content on social media has made opinion mining an
arduous job. As a microblogging platform, Twitter is being used to collect views about …