NLP with TextBlob Part 1

Hello, I recently discovered TextBlob in python and I think it’s really cool, so let’s talk about it.

So, what is TextBlob?
TextBlob is a Python library that simplifies natural language processing (NLP). It offers a simple API for performing common tasks such as sentiment analysis, spell checking, key phrase extraction and much more. Here’s a basic tutorial to get you started with TextBlob

Make sure you have Python installed on your system. You can install TextBlob using pip :

pip3 install textblob

# TextBlob import
from textblob import TextBlob

# Create two TextBlob objects from two sentences containing spelling mistakes.
text1 = TextBlob("Aree you giong to unniversity tommorrow ?")
text2 = TextBlob("I havv goood speling!")


print(text1.correct())
print(b.correct())

# outpout
# Free you going to university tomorrow ?
# I have good spelling!

TextBlob’s correct() method is used to correct the spelling of a text using a probabilistic model. It attempts to correct spelling errors in the text based on the probability of each word being spelled correctly.

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