The output from print would typically be a single line which can be hard to read, especially if the dictionary is large.
The output from pprint, on the other hand, would be neatly formatted with line breaks and indentation.
Pretty Printing in python:
pprint is a python module that provides a capability to "pretty-print" arbitrary Python data structures in a formatted and more readable way.
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Stemming in NLP is a text normalization technique used to reduce words to their root form or base stem. It is a simpler process that chops off word endings based on common prefixes and suffixes, often without consideration of the context in which a word is used.
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Disadvantages of stemming:
β’ Loss of Semantic Meaning
β’ Generation of Non-Words
β’ Overstemming and Understemming Errors
β’ Part-of-Speech Ambiguity
Advantages of stemming:
β’ Reduction in Vocabulary Size
β’ Increased Recall in Information Retrieval
β’ Faster Processing
β’ Simplicity
β’ Language Support
Today, I was going through the "solutions" section of one of the Leetcode problems, I stumbled upon my solution, which had around 560 upvotes!
Reading through the comments brightened my day; it was awesome to see positive feedbacks.
Have you tried it?
https://t.co/Iem82U9PUD
(1/5) Tokenizing in NLP:
When processing natural language text, tokenization usually involves dividing the text into words, phrases, symbols, or other meaningful elements called tokens.
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Spelling check using TextBlob (NLP)
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TextBlob provides a simple API for common NLP tasks such as POS tagging, phrase extraction and more. One of the features of it is to correct "spelling mistakes" in a given text.
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String Formatting Operator %
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The string formatting operator % allows you to format strings with specific formatting instructions, including inserting values into a string.
Counters in Python:
Python's Counter from collections provide a clean and an efficient way to count several repeated objects at once.
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