We will create a function ( avg_sentence_len ) to calculate the average sentence length across a piece of text. This function should take text as an input parameter. Within this function: 1. sentences : Use the split() string method to split the input text at every sentences. Store this in the variable sentences . To keep things simple, we will consider every "." as a sentence This will split the text into a list of separator. (This decision could lead to misleading answers. For example, "Hello Dr. Jacob." is actually a single sentence, but our function will consider this 2 separate sentences). 2. words : Use the split() method to split the input text into a list of separate words, storing this in words . Again, to limit complexity, we will assume that all words are separated by a single space ( " "). (So, while "I am going.to see you later" actually has 7 words, since there is no space after the ".", so we will assume the this to contain 6 separate words in our function.) 3. Calculate the average sentence length, return ing this from your function: 4. if the last value in sentences is an empty string: the average sentence length should be the number of words divided by the len(sentences) 1. - 5. otherwise, the average sentence length should be the number of words divided by the number of sentences For the "I am going.to see you later" example, your function should return 3.0. I # YOUR CODE HERE I assert avg_sentence_len("each sentence. has two. words right?.") == 2 assert avg_sentence_len("a. a. a") == avg_sentence_len("a. a. a.") assert avg_sentence_len ("a. a. a") == 1 assert avg_sentence_len("hello Dr. Jacob.") == 1.5 assert avg_sentence_len(news_df[ 'message'][0])//1 assert avg_sentence_len ("one. two.") != avg_sentence_len("one.two.") == 16
We will create a function ( avg_sentence_len ) to calculate the average sentence length across a piece of text. This function should take text as an input parameter. Within this function: 1. sentences : Use the split() string method to split the input text at every sentences. Store this in the variable sentences . To keep things simple, we will consider every "." as a sentence This will split the text into a list of separator. (This decision could lead to misleading answers. For example, "Hello Dr. Jacob." is actually a single sentence, but our function will consider this 2 separate sentences). 2. words : Use the split() method to split the input text into a list of separate words, storing this in words . Again, to limit complexity, we will assume that all words are separated by a single space ( " "). (So, while "I am going.to see you later" actually has 7 words, since there is no space after the ".", so we will assume the this to contain 6 separate words in our function.) 3. Calculate the average sentence length, return ing this from your function: 4. if the last value in sentences is an empty string: the average sentence length should be the number of words divided by the len(sentences) 1. - 5. otherwise, the average sentence length should be the number of words divided by the number of sentences For the "I am going.to see you later" example, your function should return 3.0. I # YOUR CODE HERE I assert avg_sentence_len("each sentence. has two. words right?.") == 2 assert avg_sentence_len("a. a. a") == avg_sentence_len("a. a. a.") assert avg_sentence_len ("a. a. a") == 1 assert avg_sentence_len("hello Dr. Jacob.") == 1.5 assert avg_sentence_len(news_df[ 'message'][0])//1 assert avg_sentence_len ("one. two.") != avg_sentence_len("one.two.") == 16
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
Using Python
![We will create a function ( avg_sentence_len ) to calculate the average sentence length across a piece of text.
This function should take text as an input parameter.
Within this function:
1. sentences : Use the split() string method to split the input text at every
This will split the text into a list of
sentences. Store this in the variable sentences . To keep things simple, we will consider every "." as a sentence
separator. (This decision could lead to misleading answers. For example, "Hello Dr. Jacob." is actually a single sentence,
but our function will consider this 2 separate sentences).
2. words : Use the split() method to split the input text into a list of separate words, storing this in words . Again, to
limit complexity, we will assume that all words are separated by a single space ( " "). (So, while "I am going.to see you
later" actually has 7 words, since there is no space after the ".", so we will assume the this to contain 6 separate words in
our function.)
3. Calculate the average sentence length, return ing this from your function:
4. if the last value in sentences is an empty string: the average sentence length should be the number of words divided
by the len(sentences) - 1.
5. otherwise, the average sentence length should be the number of words divided by the number of sentences .
For the "I am going.to see you later" example, your function should return 3.0.
I # YOUR CODE HERE
I assert avg_sentence_len("each sentence. has two. words right?.") == 2
assert avg_sentence_len("a. a. a")
assert avg_sentence_len("a. a. a") == 1
assert avg_sentence_len("hello Dr. Jacob.") == 1.5
assert avg_sentence_len(news_df[ 'message'][0])//1 == 16
assert avg_sentence_len("one. two.") != avg_sentence_len("one.two.")
== avg_sentence_len("a. a. a.")](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3200e892-7b83-4670-8aa5-c4c84f2a6adb%2F7f5622bb-02a4-42e9-a531-c4f206f8a443%2F55k8zth_processed.png&w=3840&q=75)
Transcribed Image Text:We will create a function ( avg_sentence_len ) to calculate the average sentence length across a piece of text.
This function should take text as an input parameter.
Within this function:
1. sentences : Use the split() string method to split the input text at every
This will split the text into a list of
sentences. Store this in the variable sentences . To keep things simple, we will consider every "." as a sentence
separator. (This decision could lead to misleading answers. For example, "Hello Dr. Jacob." is actually a single sentence,
but our function will consider this 2 separate sentences).
2. words : Use the split() method to split the input text into a list of separate words, storing this in words . Again, to
limit complexity, we will assume that all words are separated by a single space ( " "). (So, while "I am going.to see you
later" actually has 7 words, since there is no space after the ".", so we will assume the this to contain 6 separate words in
our function.)
3. Calculate the average sentence length, return ing this from your function:
4. if the last value in sentences is an empty string: the average sentence length should be the number of words divided
by the len(sentences) - 1.
5. otherwise, the average sentence length should be the number of words divided by the number of sentences .
For the "I am going.to see you later" example, your function should return 3.0.
I # YOUR CODE HERE
I assert avg_sentence_len("each sentence. has two. words right?.") == 2
assert avg_sentence_len("a. a. a")
assert avg_sentence_len("a. a. a") == 1
assert avg_sentence_len("hello Dr. Jacob.") == 1.5
assert avg_sentence_len(news_df[ 'message'][0])//1 == 16
assert avg_sentence_len("one. two.") != avg_sentence_len("one.two.")
== avg_sentence_len("a. a. a.")
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