Analytical approach of spam and sarcasm detection

Abstract

Emotion analysis is extensively used, mostly as part of social media analysis for multiple domains like business, a recently released movie or a product launch, to understand its acknowledgement by the people and what they think based on their opinions or in other words, their sentiment! The primary characteristic of sentiment analysis is to examine a body of text and identify the opinion expressed by it. Usually this sentiment is associated with a positive or a negative value, known as polarity. The overall sentiment is identified on the base of the polarity score and classified on the simplest binary form of Positivity, Negativity or Neuter. It works best on the content text or raw text consisting of subjective context, instead of just objective one. A successful Emotion Analysis, gives valuable and exact insights which can be effortlessly transformed into actions, by identifying audience's motives and impulses. It has various business aspect's, like in industries where it can provide information about the products used by the user's in the form of feedback's. Same is the case with all the social networking websites e.g. LinkedIn, Facebook, Twitter, Instagram.