Exam 7: Text Mining, Sentiment Analysis, and Social Analytics

Regional accents present challenges for natural language processing.

In sentiment analysis, it is hard to classify some subjects such as news as good or bad, but easier to classify others, e.g., movie reviews, in the same way.

Text analytics is the subset of text mining that handles information retrieval and extraction, plus data mining.

What is the difference between white hat and black hat SEO activities?

In the chapter's opening vignette, Amadori sought to better understand and market its food products effectively to customers of its food products.

Current use of sentiment analysis in voice of the customer applications allows companies to change their products or services in real time in response to customer sentiment.

How would you define clickstream analysis?

How would you describe information extraction in text mining?

Detecting lies from text transcripts of conversations is a future goal of text mining as current systems achieve only 50% accuracy of detection.

Natural language processing (NLP) is an important component of text mining and is a subfield of computational linguistics but not artificial intelligence.

Because of the sheer size of the Web, it is not feasible to set up a data warehouse to replicate, store, and integrate all of the data on the Web.

What is a Web crawler and what function does it serve in a search engine?

What is search engine optimization (SEO) and why is it important for organizations that own Web sites?