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Stars2
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LanguageHTML
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Created almost 5 years ago
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Updated almost 5 years ago
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Problem Description: Online reviews are important because they have become a reference point for buyers across the globe and because so many people trust them when making purchase decisions. Reviews are also important for Search Engine Optimization (SEO). Having positive reviews is also another way through which you can improve a website’s Search Engine visibility. The more that people talk about a brand online, the greater its visibility to Search Engines, such as Google, Yahoo and Bing. For the audience and booking websites, analysing reviews is significant in understanding reviewer opinion about the film. In movie booking websites, 90% of people first check out online reviews before purchasing tickets. For the production house, analysing negative reviews can be useful for damage control. In this Competition, you are expected to create an end to end NLP framework to collect, analyse and perform sentiment analysis using supervised learning on user reviews about the latest Hollywood flick - “The Lion King (2019)” Objectives: In this hackathon, you are expected to: 1. Collect Audience reviews from "www.rottentomatoes.com" for the film: “The Lion King (2019)” 2. Label the Review Sentiment (Target) – Refer to Main Tasks 3. Perform the Visualizations & EDA on the data gathered. 4. Perform Sentiment Classification using supervised learning 5. Clustering the Reviews – Comparing ‘Cluster Label’ with Train data Target ‘sentiment’.
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