Innoplexus Sentiment Analysis Hackathon: Top 3 Out-of-the-Box Winning Approaches
Overview
- Hackathons are a wonderful opportunity to gauge your data science knowledge and compete to win lucrative prizes and job opportunities
- Here are the top 3 approaches from the Innoplexus Sentiment Analysis Hackathon – a superb NLP challenge
Introduction
I’m a big fan of hackathons. I’ve learned so much about data science from participating in these hackathons in the past few years. I’ll admit it – I have gained a lot of knowledge through this medium and this, in turn, has accelerated my professional career.
This comes with a caveat – winning a data science hackathon is really hard. Just think about the number of obstacles in your way:
- A brand new problem statement we haven’t worked on before
- A plethora of top data scientists competing to rise up the leaderboard
- Time crunch! We have to understand the problem statement, put together a framework, clean the data, explore it, and build the model in a matter of a few hours
- And then repeat the