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text-chunker
Advanced tools
A Python class that takes in long text as input and divides it into shorter chunks no longer than a specified length.
TextChunker is a Python class that takes in long text as input and divides it into shorter chunks no longer than a specified length. The purpose of this project is to provide a simple and useful tool for data processing tasks such as natural language processing and information extraction.
pip intsll text_chunker
You can use the TextChunker class in your Python code as follows:
from text_chunker import TextChunker
# Create a new TextChunker object with a maximum chunk length of 50 characters
chunker = TextChunker(maxlen=1000)
# Chunk a long text string into smaller chunks
text = "This is a long text string..."
for chunk in chunker.chunk(text):
print(chunk)
The chunk method attempts to split paragraphs first while keeping chunk length below maxlen. If a paragraph is longer than maxlen, the method attempts to split the paragraph into sentences. If a sentence is longer than maxlen, it is split into smaller chunks no longer than maxlen.
There are also functions called paragraphs and sentences that divide the text into paragraphs and sentences, respectively.
from text_chunker import paragraphs
for p in paragraphs(text):
print(p)
from text_chunker import sentences
for s in sentences(text):
print(s)
The sentences function utilizes a tokenizer from the nltk library.
This project is distributed under the MIT license. See the LICENSE file for details.
FAQs
A Python class that takes in long text as input and divides it into shorter chunks no longer than a specified length.
We found that text-chunker demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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