Customized Visualization of Email Using Sentimental and Impact Analysis in R

Abstract

In our modern world of social interactions where the analysis of each content on social media is based on the impact of the sentiment it imposes on the forum. The proposed system is used to implement a more personalized and customized report of these impacts. Email is of main focus here where in out of all other social applications, responses to and from the email is the most traditional and ethical way to communicate online. Users share all information, through internet especially emails because of its fast transmission and is considered as the most professional medium. Hence the proposed model focus more on the subjective content of email processed on R libraries created for Natural language processing in a more customized way. Nowadays, crime rate in emails are increasing drastically. Spamming, phishing and email fraudulent are the ways of targeting common people. The sentimental analysis on the impact of the email received is analysed and visualized. The system also proposes a design for establishing a framework that detects the suspicious one by comparing the mail with keywords and also reveals the level of suspiciousness in the particular mail.