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

In sentiment analysis, which of the following is an implicit opinion?

IBM's Watson utilizes a massively parallel, text mining-focused, probabilistic evidence-based computational architecture called ________.

What is the definition of text analytics according to the experts in the field?

In text analysis, what is a lexicon?

Identify, with a brief description, each of the four steps in the sentiment analysis process.

________ focuses on listening to social media where anyone can post opinions that can damage or boost your reputation.

Which of these applications will derive the LEAST benefit from text mining?

Chinese, Japanese, and Thai have features that make them more difficult candidates for natural language processing.

When a word has more than one meaning, selecting the meaning that makes the most sense can only be accomplished by taking into account the context within which the word is used. This concept is known as ________.

What do voice of the market (VOM) applications of sentiment analysis do?

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

How is objectivity handled in sentiment analysis?

In text mining, inputs to the process include unstructured data such as Word documents, PDF files, text excerpts, e-mail and XML files.

In sentiment analysis, sentiment suggests a transient, temporary opinion reflective of one's feelings.

Describe the query-specific clustering method as it relates to clustering.

In the BBVA case study, text analytics was used to help the company defend and enhance its reputation in social media.

Where ________ appears in text, it comes in two flavors: explicit, where the subjective sentence directly expresses an opinion, and implicit, where the text implies an opinion.

Inputs to speech analytics include all of the following EXCEPT

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.

Name and briefly describe four of the most popular commercial software tools used for text mining.