Sentiment Analysis Using Lexicon Based Approach

With increasing easy access to internet there is an emergence of e-commerce and social media portals. There is a huge surge in the production of the human sentiments in form of customer reviews and feedback on these platforms. As per a survey approximately 2,500,000 Terabytes of data is created every day and 90% of the data which exist today has been created in the past 2 years only. This huge amount of data created is called big data. The main problem associated with this huge data is that it is in unstructured form. So, to gain information, first we must process it using various methods. This paper proposes a Human sentiment analysis model (HSAM), which can perform sentiment analysis on any given data set.