Complete TextBlob Explained | Spell Checker Python | Translate using TextBlob | ASA Learning

In this Video, we have discussed the complete TextBlob library uses. 🚀TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. 🚀 You can install textblob by executing in cmd with: pip install textblob ✅ Please do like, share and subscribe if you find videos and tutorials interesting and fun. https://bit.ly/ASA_Learning ✅Python modules used : https://pypi.org/project/textblob/ https://textblob.readthedocs.io/en/dev/ ❤️ Complete Explained in Minutes Series Playlist: https://www.youtube.com/playlist?list=PLX9iXQ7KV9eqH-xrySuEgT0kE7qzzSGfk ✅ Github code link: https://github.com/AbishekSA/Explained_In_Minutes/blob/main/TextBlob%20Introduction.ipynb #textblob #translateusingpython #spellchecker #ASALearning #ExplainedInMinutes #Python #Spellingcorrectionusingpython #Sentimentanalysis #Tokenization #Wordandphrasefrequencies #Tokenizers #textblobpythonlibrary ✅ Connect and Follow on social media: ❤️ FB: https://www.facebook.com/asalearningonyoutube/ ❤️ Instagram: https://www.instagram.com/asa.learning/ Feel free to email me about possible collaborations, video or tutorial suggestions, or any questions ❤️ Contact: [email protected] 🔴 Other Videos you will be interested in: ✅ Reveals of Magic Card Tricks using Python code: ProMathGic Series Playlist: http://bit.ly/ProMathGic_Series ✅ Ep.1: Deck of 52-Card Math Trick Reveal 🎩 - https://youtu.be/CFnNCbbLXFk ✅ Ep.2: Best Self-working Card Trick 💳 - https://youtu.be/HqyqQciKe44 ✅ Ep.3: Mr.Juja Takes Over 🤖 - https://youtu.be/695dTmGDxcg ✅ Ep.4: Mathematical Card Trick Reveal 🃏 - https://youtu.be/1Aah7D9wXXE --------------------------------------------------------------------------------------------------------------------------------- Features of textblob : Noun phrase extraction Part-of-speech tagging Sentiment analysis Classification (Naive Bayes, Decision Tree) Tokenization (splitting text into words and sentences) Word and phrase frequencies Parsing n-grams Word inflection (pluralization and singularization) and lemmatization Spelling correction Add new models or languages through extensions WordNet integration TextBlob is an ideal module to do text processing and maintain a comparatively moderate accuracy for noun_phrases, tokenization, sentiment analysis, and lemmatization even without a trained and advanced ML model to be avail of.