Survey Paper on Implementation of Abusive Language Detection in Chatting Application

Survey Paper on Implementation of Abusive Language Detection in Chatting Application

Mr. Siddharth Shukracharya Rokade, Mr. Gaurav Sanjay Rajole, Mr. Shreyas Kailas More, Mr. Atharva Vivek Sandhan

Department of Computer Engineering

KVN Naik Loknete Gopinathji Munde College of Engineering And Research, Nashik

Abstract – Communication has become stronger due to exponential increase in the usage of social media in the last few years. People use them for communicating with friends, finding new friends, updating any important activities of their life, etc. Due to their growing popularity and deep reach, these mediums are infiltrated with huge volume of spam messages. Spam message randomly sent to multiple addressees by all sorts of groups, but mostly lazy advertisers and criminals who wish to lead you to phishing sites. In this we are using various machine learning techniques for detecting spam in the short text messages and also Google vision API for detecting spam images.

Key Words: Spam Filtration, Google Vision API, OWASP, Naive baise classifier, Dictionary Based Algorithm