Question 1

Which of the following statements is false?

Accepted Answer

A)  Stemming removes a prefix or suffix from a word leaving only a stem, which may or may not be a real word. 
B)  Lemmatization is similar to stemming, but factors in the word's part of speech and meaning and results in a real word. 
C)  Stemming and lemmatization are normalization operations, in which you prepare words for analysis. 
D)  Words support stemming and lemmatization via the methods stem and lemmatize. The following code correctly stems and lemmatizes a Word:
In [1]: from textblob import Word
In [2]: word = Word('varieties')
In [3]: word.stem()
Out[3]: 'variety'
In [4]: word.lemmatize()
Out[4]: 'varieti' 
A)  Stemming removes a prefix or suffix from a word leaving only a stem, which may or may not be a real word. 
B)  Lemmatization is similar to stemming, but factors in the word's part of speech and meaning and results in a real word. 
C)  Stemming and lemmatization are normalization operations, in which you prepare words for analysis. 
D)  Words support stemming and lemmatization via the methods stem and lemmatize. The following code correctly stems and lemmatizes a Word:
In [1]: from textblob import Word
In [2]: word = Word('varieties')
In [3]: word.stem()
Out[3]: 'variety'
In [4]: word.lemmatize()
Out[4]: 'varieti'

Question 2

Which of the following statements a), b) or c) is false?

Accepted Answer

A)  You can get a Word's synsets-that is, its xe "synset (set of synonyms)"xe "sets of synonyms (synset)"sets of synonyms-via the synsets property. The result of applying this property to a Word is a list of Synset objects:
In [4]: happy.synsets
Out[4]:
[Synset('happy.a.01'),
Synset('felicitous.s.02'),
Synset('glad.s.02'),
Synset('happy.s.04')] 
B)  Each Synset represents a group of synonyms. In the code in part b) above, the notation happy.a.01: $\bullet$happy is the original Word's lemmatized form (in this case, it's the same).
$\bullet$a is the part of speech, which can be a for adjective, n for noun, v for verb, r for adverb or s for adjective satellite.
$\bullet$01 is a 0-based index number. Many words have multiple meanings, and this is the index number of the corresponding meaning in the WordNet database. 
C)  There's also a get_synsets method that enables you to pass a part of speech as an argument so you can get Synsets matching only that part of speech. 
D)  All of the above statements are true. 
A)  You can get a Word's synsets-that is, its xe "synset (set of synonyms)"xe "sets of synonyms (synset)"sets of synonyms-via the synsets property. The result of applying this property to a Word is a list of Synset objects:
In [4]: happy.synsets
Out[4]:
[Synset('happy.a.01'),
Synset('felicitous.s.02'),
Synset('glad.s.02'),
Synset('happy.s.04')] 
B)  Each Synset represents a group of synonyms. In the code in part b) above, the notation happy.a.01: $\bullet$happy is the original Word's lemmatized form (in this case, it's the same).
$\bullet$a is the part of speech, which can be a for adjective, n for noun, v for verb, r for adverb or s for adjective satellite.
$\bullet$01 is a 0-based index number. Many words have multiple meanings, and this is the index number of the corresponding meaning in the WordNet database. 
C)  There's also a get_synsets method that enables you to pass a part of speech as an argument so you can get Synsets matching only that part of speech. 
D)  All of the above statements are true.

Which of the following statements is false?

Which of the following statements a), b) or c) is false?

Introduction to Computers and Python

Introduction to Python Programming

Control Statements and Program Development

Functions

Sequences: Lists and Tuples

Dictionaries and Sets

Array-Oriented Programming With Num

Strings: a Deeper Look

Files and Exceptions

Object-Oriented Programming

Computer Science Thinking: Recursion, Searching, Sorting and Big O

Data Mining Twitter

Ibm Watson and Cognitive Computing

Machine Learning: Classification, Regression and Clustering

Deep Learning

Big Data: Hadoop, Spark, Nosql and Iot

Filters

Exam 12: Natural Language Processing

Which of the following statements is false?

Which of the following statements a), b) or c) is false?

Introduction to Computers and Python

Introduction to Python Programming

Control Statements and Program Development

Functions

Sequences: Lists and Tuples

Dictionaries and Sets

Array-Oriented Programming With Num

Strings: a Deeper Look

Files and Exceptions

Object-Oriented Programming

Computer Science Thinking: Recursion, Searching, Sorting and Big O

Data Mining Twitter

Ibm Watson and Cognitive Computing

Machine Learning: Classification, Regression and Clustering

Deep Learning

Big Data: Hadoop, Spark, Nosql and Iot

Filters