You will be given a definition of a task first, then some input of the task.
In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.

Two surprises I didn't like . The text of this book was generally good - although it seemed padded out with a massive listing of model metadata. The book comes with a CD. The first surprise was, the CD does not include the Data Definition Language (DDL) for its sample models... there's an extra cost for that. My question to the publisher would be, what good is the CD you provide for free? The second surprise is the illustrations. There are plenty of them, but they look like they were done in a primitive graphics package - not in an enterprise modeling tool. They author seems to have invented his own wierd set of conventions, including "foreign keys do not appear in the entities... that is duplicate information". Before you buy this book, take a look at the illustrations of the models. If you can live with the notation, maybe consider buying it
Output:
NEG