Real-time global sentiment analysis system with custom augmentation of market intelligence

Due to the significant growth of internet access across the world, online presence and usage of social media of people have escalated. Among them, one of the most popular and contributing platforms is Twitter, which has more than 350 million users. Being a platform facilitating the opinions and views of such a huge population in every domain, Twitter qualifies itself as a great opinion mining source. Sentiment analysis – a process of discovering and identifying the emotion (positive or negative) from the text data, has been in significant rise for its use in decision-making. Implementing such a sentiment analysis model into the pool of tweets (text data of Twitter) is termed Twitter sentiment analysis. Also, the process of deriving public sentiment before decision-making has progressed significantly over the years. Intelligent systems work to create and implement a real-time model which can be functional on various aspects of commercial and non-commercial applications. This paper reviews and consists of such relevant systems.