Provide logical answers to following questions by sharing an example each, where applicable. a) What do you think which Recommender systems are better and in which scenario: Collaborative filtering or Content based? b) Why do as Take Inverse Document frequency and why do we apply log for IDF computation? c) Why is Sentiment analysis considered important for review analysis of products and services in data science? d) How associative classification is different from conventional classification approach whereas purpose of both is same? Share the difference in steps taken in both approaches