Hackathon Challenge - Sentiment Coding Challenge

Hackathon Challenge - Sentiment Coding Challenge

Sentiment analysis (also referred to as opinion or review mining) is a long-standing problem of artificial intelligence where the goal is to automatically categorise opinions expressed in text. Sentiment analysis is currently one of the hottest area of computer science considering that sentiment analysis algorithms have found a number of applications in recommendation systems, market analysis, customer satisfaction analysis, forecasting market movement and many more. 

In this challenge, you will be working to develop an ‘intelligent’ software that automatically classifies the sentiment of a given product review (i.e., positive or negative). Your software should read the textual content of a product review and it should then decide whether the review is positive or negative. You will be working with a real-world, large-scale dataset which has been made publicly available by Amazon and it consists of approximately 20,000 reviews relevant to Video games.

You will be further provided with an additional ‘development’ dataset that will help you to implement rules (e.g., if review contains the word ‘hate’ the classify it as positive) or to train machine learning algorithms (e.g., using scikit-learn or ternsorflow in python or the weka library in Java) in order to improve the performance of your sentiment analysis software.