Literature review on Whatsapp chat Analyzer
Survey analysis on the usage and impact of WhatsApp Messenger has been conducted and various studies and analyses have been found. These studies include the impact of WhatsApp on students(youth). In the survey, it was found that in the southern part of India, ages 18 to 23 spend around 8 hours using Whatsapp and sometimes be online almost 12-16 hours a day. Most of them agreed to be using Whatsapp than any other site. They exchange images, audio, and videos. This survey also proved that Whatsapp has been the most widely used app on smartphones than any other app. This survey was conducted to know the positive and negative impacts of using Whatsapp.
Abstract
Whatsapp has been the most used mode of communication and has been an efficient one too. It consists of many conversations in groups and with individuals. So, there might be some hidden facts in them. This project takes those chats and provides a deep analysis of that data. Being any topic, the chats are it provides the analysis in an efficient and accurate way. The main advantage of this project is that it has been built using libraries like pandas, seaborn, matplotlib, emoji, etc. They are used to create data frames and plot graphs in an efficient way.
Introduction
WhatsApp chat Analyzer is an analyzing tool for WhatsApp chats. The chat files can be exported from WhatsApp and it generates various plots and graphs showing the number of messages or emojis, or images sent by a person, the most active member in the group, etc. It helps us to have a better understanding of our WhatsApp chats.
This system is based on data analysis and pre-processing. The first step is pre-processing and data preprocessing plays a major role when it comes to machine learning. In order to apply the libraries, it has to be pre-processed and stored in an efficient way.
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