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 1.5.

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
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1c) Average sentence length
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 '."
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
This will split the text into a list of sentences. Store this in the
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 1.5.
-]:
1 def avg_sentence_len(text):
File "<ipython-input-1-30796a91074f>", line 3
SyntaxError: unexpected EOF while parsing
assert avg_sentence_len("each sentence. has two. words right?.") == 2
2 assert avg_sentence_len("a. a. a") == avg_sentence_len("a. a. a.")
3 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.")
]:
1.
5
Transcribed Image Text:1c) Average sentence length 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 '." 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 This will split the text into a list of sentences. Store this in the 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 1.5. -]: 1 def avg_sentence_len(text): File "<ipython-input-1-30796a91074f>", line 3 SyntaxError: unexpected EOF while parsing assert avg_sentence_len("each sentence. has two. words right?.") == 2 2 assert avg_sentence_len("a. a. a") == avg_sentence_len("a. a. a.") 3 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.") ]: 1. 5
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