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Spell Checker and Auto Correction with Python | spellchecker using python | TextBlob

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Title: TextBlob Spelling Correction
🔴This video, explains, how to use the TextBlob module for Spelling correction.
What is TextBlob?
🔴TextBlob is a Python library for processing textual data. It provides a consistent API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and more.
Why TextBlob?
🔴NLU is a subset of NLP in which an unstructured data or sentence is being converted into its structured form for performing NLP in terms of handling end to end interactions. Relation extraction, semantic parsing, sentiment analysis, Noun phrase extraction are few examples of NLU which itself is a subset of NLP. Now to work in these areas, TextBlob plays a great role which is not that efficiently done by NLTK.
Installation:
🔴sometimes tweets, reviews or any blog data may contain typo errors, hence first we need to correct that data to reducing multiple copies of the same words, which represents the same meaning.
🔴TextBlob is the required library for this recipe. Installing TextBlob on your computer is very simple. You simply need to install it using pip.
Open the Command prompt and enter the below command to install TextBlob.
📁pip install textblob
Functions Used:
TextBlob Offical Documentation:
Source Code & Link:
#spellchecker, #spellcheckerpython, #textblob, #textblobspellingcorrection, #spellingcorrectionpython
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🔴This video, explains, how to use the TextBlob module for Spelling correction.
What is TextBlob?
🔴TextBlob is a Python library for processing textual data. It provides a consistent API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and more.
Why TextBlob?
🔴NLU is a subset of NLP in which an unstructured data or sentence is being converted into its structured form for performing NLP in terms of handling end to end interactions. Relation extraction, semantic parsing, sentiment analysis, Noun phrase extraction are few examples of NLU which itself is a subset of NLP. Now to work in these areas, TextBlob plays a great role which is not that efficiently done by NLTK.
Installation:
🔴sometimes tweets, reviews or any blog data may contain typo errors, hence first we need to correct that data to reducing multiple copies of the same words, which represents the same meaning.
🔴TextBlob is the required library for this recipe. Installing TextBlob on your computer is very simple. You simply need to install it using pip.
Open the Command prompt and enter the below command to install TextBlob.
📁pip install textblob
Functions Used:
TextBlob Offical Documentation:
Source Code & Link:
#spellchecker, #spellcheckerpython, #textblob, #textblobspellingcorrection, #spellingcorrectionpython
====*====
✅ Now donation is open, you can donate to help us grow ✅
✅ Google Pay - 7418713984
====*====
For More Videos:
📌 Weather Forecast with Python
📌 Detecting COVID-19 from X-Ray using Machine Learning
📌 How to Convert any Python File to EXE
📌 Pedestrian Detection using OpenCV Python
📌 Face Mask Detection using Python, JavaScript
📌 Draw Among Us Characters in Python
📌 Background subtraction using OpenCV with Python
📌 Automatically Solve Your Errors in python | Tracestack
📌 How to make a Telegram bot using Python
📌 Python Tutorial In Detail
📌 Data Visualisation Running Graph
📌 Computer Hacks and Tricks
====*====
Follow Me Here For More Help or Queries
====*====
🔔SUBSCRIBE NOW for weekly videos on Python Tutorial, Computer Hacks and Tricks, Data Visualisation, Technology, and Many More.