Chapter 12 Overview of Text Data Analysis

Question 1

The goal of text data analysis

Answer 1

understand content of text in more details;
find any interesting pattern in text data, such as topical trends or sentiment polarity;
extract and discover actionable knowledge directly useful for finishing a user task.

Question 2

why need text data analysis

Answer 2

when the amount of data is small, people can still manually process it. However, as the amount of text data increases, the manual processing of text data would not be feasible or acceptable, especially for time-critical applications. Thus, it becomes increasingly essential to develop advanced text analysis tools to help us digest and make use of text data effectively and efficiently.

text data mining is for ad hoc text research for time-critical tasks

Question 3

datascope

Answer 3

away, in the era of big data, we may envision a “datascope” would allow us to “see” useful hidden knowledge buried in large amounts of data. As a special kind of data, text data presents unique opportunities to help us “see” virtually all kinds of knowledge we encode in text, especially knowledge about people’s opinions and thoughts, which may not be easy to see in other kinds of data.