In Chapter 3 we discussed how training data can be used to categorize customer comments according to sentiment (positive, negative, neutral), as well as according to context. For example, in the airline domain, the context can be punctuality, food, comfort, entertainment, and so on. Using this analysis, a business owner can determine the areas that his business he needs to concentrate on. For instance, if he observes that the highest percentage of negative comments has been about food, then his priority will be the quality of food being ...
4. Unsupervised Learning: Clustering
Get Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.