Detecting the Immensity of Expression in WhatsApp Users Using ‘R’ Language

Abstract

In the present scenario the different social media apps/sites have empoweredevery person to effortlessly express & share their ideas and emotional state with the society or the publicin and around the world. People, these days are comfortable in sending text for communication, which can be accomplished through different messaging platforms of social media available today such as WhatsApp,Twitter, Insta, Snapchat, Facebook , etc. so that instead of speaking their feelings out they find it very easy and convenient to express them. Sharing of ideas are not only done through texting but it can also take a form of calling.This process can be established among more than two people. The transmission of media is established worldwide in a group or  between two individuals. WhatsApp is a platform where audio and vedio calls could be made and it is also used extensively for exchanging messages and media files.

The aim of this piece of research is to recommend an effective method that can distinguish the level of positivity in WhatsApp users. The major goal is to set down a sense of comprehending theopinion levels in different users. The open-source data science technologies like Anaconda and R language have been used in this paper to understand the sentiment level of the communication in WhatsApp.