Text Mining Simplified – IPL 2020 Tweet Analysis with R

This article was published as a part of the Data Science Blogathon. Introduction Text mining utilizes different AI technologies to automatically process data and generate valuable insights, enabling companies to make data-driven decisions. Text mining identifies facts, relationships, and assertions that would otherwise remain buried in the mass of textual big data. Once extracted, this information is converted into a structured form that can be further analyzed, or presented directly using clustered HTML tables, mind maps, charts, etc. Advantages of […]

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Who is the world cheering for? 2014 FIFA WC winner predicted using Twitter feed (in R)

Sports are filled with emotions! Cheering of audience, reactions to events on various media channels are some of the factors, which make a huge impact on the mind of the players. If people support you, your chances to win are greatly enhanced. Live example of this fact, are the statistics of Indian cricket team playing in India and abroad. The win rate of Indian cricket team in India is approximately twice the win rate abroad. Football is again a game driven largely by emotions. […]

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Learn how to Build and Deploy a Chatbot in Minutes using Rasa (IPL Case Study!)

Introduction Have you ever been stuck at work while a pulsating cricket match was going on? You need to meet a deadline but you just can’t concentrate because your favorite team is locked in a fierce battle for a playoff spot. Sounds familiar? I’ve been in this situation a lot in my professional career and checking my phone every 5 minutes was not really an option! Being a data scientist, I looked at this challenge from the lens of an […]

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