NLP / TEXTBLOB

Question 1

mean

Answer 1

def mean(sequence):
    total = 0
    for element in sequence:
        total = total + element
    return total / len(sequence)

Question 2

open text file

Answer 2

source = open(‘text-pride-and-prejudice.txt’)
pride = source.readlines()
source.close()

Question 3

print

Answer 3

print(pride[:100])

Question 4

calculate mean

/sentence mean

Answer 4

def mean(sequence):
    total = 0
    for element in sequence:
        total = total + element
    return total / len(sequence)

def mean_line_length(sequence):
    total = 0
    for line in sequence:
        total = total + len(line)
    return total / len(sequence)

Question 5

prose vesus verse

Answer 5

def verse_or_prose(text):
    if mean_line_length(text) < 57.82:
        return "verse"
    else:
        return "prose"

Question 6

Classification

Answer 6

Classification is the process of categorizing data into discrete sets.

Question 7

line.strip()

Answer 7

returns a string that has all leading and trailing whitespace removed.