![]() So I took the opportunity offered by Shiny Contest 2021 to make my project visible. Fascinated by NLP, I therefore have a Data Science (DS) project relating to the manipulation of data of this nature (WhatsApp Data). In addition, the dazzling technological advances in the field of Natural Language Processing (NLP) provide us with cutting-edge tools for analyzing this kind of data (unstructured data) and to extract insights from it. These statistics provide no doubt that WhatsApp is a treasure trove of data that can be used to create value and explore our past, understand our present and plan for the future. And we exchange sixty-five (65) billion messages on Whatsapp on average per day worldwide (Statista, 2019). Over 5 million businesses use Whatsapp Business services (PYMNTS, 2019). And at last, the app allows users to forecast the numbers of messages that will arrive in a ten (10) day horizon using a time series model.įull Description: The number of users of the Whatsapp network around the world has already reached more than 2 billion (Whatsapp, 2019). ![]() And then, automatically, the app will show some keys statistics about their messages, the top active users, the most frequent words used by users, the sentiment scoring based on emoji usage by users, the topics that dominate the conversations over time, the detection of communities formed by users in a chat group(network analysis). First, users have to upload their WhatsApp conversations after exporting that from their Smartphone (android or ios). What-Stat: a shiny app which performs statistical analysis on WhatsApp dataĪbstract: This based-NLP app lets users perform statistical analysis on their own WhatsApp conversations at a glance. ![]()
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