Initially, I believed my code to open a file, read its contents, and tokenize it into sentences was straightforward.
import nltk
text = open('1865-Lincoln.txt', 'r')
tokens = nltk.sent_tokenize(text)
print(tokens)
However, I consistently encounter the extensive error message that concludes with
TypeError: expected string or bytes-like object
Make sure to include a read command after opening the file and before accessing tokens.
fileObj = open('1865-Lincoln.txt', 'r')
text = fileObj.read()
Simply opening the text file without actually reading its contents will not allow the information to be processed as a string. It is important to provide NLTK with string input in order for it to tokenize sentences effectively. Understanding this concept is essential for successful text analysis. Thank you! :)
To extract the content from your file and tokenize your sentences using the nltk.sent_tokenize package, you must first call the read() function. Below is an example of how to modify your code:
import nltk
filex = open('1865-Lincoln.txt', 'r')
text = filex.read()
tokens = nltk.sent_tokenize(text)
print(tokens)
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