ABSTRACT
Comment analysis is a common project that is relevant to data and solutions implemented across several industry verticals. This chapter discusses an analysis of hotel review comments and highlights their relevance from the perspective of company key performance indicators (KPIs) and business objectives. This chapter breaks down a customer reviews analysis problem into its components and implements every component using Python. The components include identifying comment sentiment, identifying themes within different sentiments, and classifying unlabeled comments based on the topics present within. Comment analysis is a common project that is relevant to data and solutions implemented across several industry verticals. In this chapter, different options are discussed and implemented for working with unlabeled data in classification modeling scenarios.
