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Complete TextBlob Explained | Spell Checker Python | Translate using TextBlob | ASA Learning
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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.
❤️ Complete Explained in Minutes Series Playlist:
#textblob #translateusingpython #spellchecker #ASALearning #ExplainedInMinutes #Python #Spellingcorrectionusingpython
#Sentimentanalysis #Tokenization #Wordandphrasefrequencies
#Tokenizers #textblobpythonlibrary
✅ Connect and Follow on social media:
Feel free to email me about possible collaborations, video or tutorial suggestions, or any questions
🔴 Other Videos you will be interested in:
✅ Reveals of Magic Card Tricks using Python code:
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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.
🚀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.
❤️ Complete Explained in Minutes Series Playlist:
#textblob #translateusingpython #spellchecker #ASALearning #ExplainedInMinutes #Python #Spellingcorrectionusingpython
#Sentimentanalysis #Tokenization #Wordandphrasefrequencies
#Tokenizers #textblobpythonlibrary
✅ Connect and Follow on social media:
Feel free to email me about possible collaborations, video or tutorial suggestions, or any questions
🔴 Other Videos you will be interested in:
✅ Reveals of Magic Card Tricks using Python code:
---------------------------------------------------------------------------------------------------------------------------------
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.
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