In the field of sentiment analysis, most of research has conducted experiments on datasets collected from Twitter for manipulating a specific language. Little number of datasets has been collected for detecting sentiments ...

Natural language processing's subfield of sentiment analysis involves locating and categorizing the feelings, viewpoints, and attitudes expressed in text. Because it enables us to understand public opinion on a variety ...

Forecasting stock trends guide investment management, financial policy, and the country’s economic growth. Investor-generated textual information has impacted stock movements across media channels in recent years. Most ...

Throughout the decades, music has been involved with humans’ emotions and inner imaginations. Along with the overgrowing demands for the overhead reduction of human-aided processes, the urge for automation in the linguistic ...