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

Because the term-document matrix is often very large and rather sparse, an important optimization step is to reduce the ________ of the matrix.

In automated sentiment analysis, two primary methods have been deployed to predict sentiment within audio: acoustic/phonetic and ________ modeling.

In text mining, tokenizing is the process of

In the chapter's opening vignette, IBM's computer named Watson outperformed human game champions on the game show Jeopardy!

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

________ is probably the most often used form of information extraction.

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.

At a very high level, the text mining process can be broken down into three consecutive tasks, the first of which is to establish the ________.

In text mining, stemming is the process of

Among the significant advantages associated with the ________ approach to linguistic modeling is the method's ability to maintain a high degree of accuracy no matter what the quality of the audio source, and its incorporation of conversational context through the use of structured queries.

In the Whirlpool case study, the company sought to better understand information coming from which source?

Categorization and clustering of documents during text mining differ only in the preselection of categories.

In the text mining system developed by Ghani et al., treating products as sets of ________ rather than as atomic entities can potentially boost the effectiveness of many business applications.

In the research literature case study, the researchers analyzing academic papers extracted information from which source?

________ models operate on the premise that, when in a charged state, a speaker has a higher probability of using specific words, exclamations, or phrases in a particular order.

Sentiment analysis has many names. Which other names is it often known by?

In the Blue Cross Blue Shield case study, speech analytics were used to identify "confusion" calls by customers. What was true about these calls?

When IBM Research began looking for a major research challenge to rival the scientific and popular interest of Deep Blue, the computer chess-playing champion, what was the company's goal?

What data discovery process, whereby objects are categorized into predetermined groups, is used in text mining?

In sensitivity analysis, the task of differentiating between a fact and an opinion can also be characterized as calculation of ________ polarity.