Sentiment Analysis is an area of study within Natural Language Processing that is concerned with identifying the mood or opinion of subjective elements within a text. This paper focuses on the various methods used for classifying a given piece of natural language text according to the opinions expressed in it i.e. whether the general attitude is negative or positive. We also discuss the two-step method (aspect classification followed by polarity classification) that we followed along with the experimental setup.
Bhadane, C., Dalal, H., & Doshi, H. (2015). Sentiment analysis: Measuring opinions. In Procedia Computer Science (Vol. 45, pp. 808–814). Elsevier B.V. https://doi.org/10.1016/j.procs.2015.03.159