B02 Text Analytics I

Question 1

Define Text Analytics

Answer 1

Text Analytics is the process of extracting high quality insights from textual data. It is sometimes referred to as text mining.

Question 2

Define this type of Text Analytics: Search and information retrieval

Answer 2

Search and information retrieval covers indexing, searching, and retrieving documents from large text databases with keyword queries.

Question 3

Define this type of Text Analytics: Document Clustering

Answer 3

Document clustering uses an unsupervised machine learning approach to group similar documents into clusters.

Question 4

Define this type of Text Analytics: Document Classification

Answer 4

Document classification assigns a known set of labels to untagged documents using a model learned from documents with known labels.

Question 5

Define this type of Text Analytics: Information Extraction

Answer 5

The goal of information extraction is to construct (or extract) structured data, such as names, places and organizations, from unstructured data.

Question 6

Define this type of Text Analytics: Syntactic Parsing

Answer 6

Syntactic parsing uses part of speech tagging (POS) techniques to identify words in order to use them in a grammatical or useful context.

Question 7

Define this type of Text Analytics: Concept Extraction

Answer 7

Concept extraction is focused on grouping words, phrases and other lexical structures into semantically similar groups in order to understand the text.

Question 8

Define Regular Expressions (Regex)

Answer 8

• Regular expressions (“regex”) provide us with a concise language for describing patterns in text by using a set of metacharacters ($ * + . ? [] ^ { } | ( ) ). - Identifing patterns and manipulating text allow us to transform textual data from unstructured or semi-structured form to structured form for analysis.

Question 9

The syntax for regular expressions can be grouped into four major categories:

Answer 9

1.Operators. 2.Escape sequences. 3.Anchors and repetitions. 4.Character classes.

Question 10

Regex

Operators:

Answer 10

Question 11

Regex

Escape Sequences

Answer 11

-Some special characters in R cannot be referenced directly.
-For example, to refer to a pattern that contains a single
quote (’), we refer to the single quote by preceding it with an
escape character ().
-Some common escape sequences include: single quote (\’),
double quote (\”), newline (\n), carriage return (\r), tab
character (\t) and even the back slash (\).

Question 12

Regex

Anchors and Repetitions

Answer 12

Question 13

Regex

Character Classes 1

Answer 13

Question 14

Regex

Character Classes 2

Answer 14

Question 15

Hypertext Markup Language (HTML)

Answer 15

-The standard markup
language used for
creating web pages.
-It describes the structure
of web pages by the use
of tags such as

,
, , etc.

Question 16

Extensible Markup Language (XML)

Answer 16

-A markup language
created with the
intention of being both
human and machine
readable.
-Similar to HTML but with
some key differences.

Question 17

JavaScript Object Notation (JSON)

Answer 17

A text-based open
standard designed for
exchanging structured
data over the web.
Often, JSON is embedded
within HTML tags on a
website.