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- Announcements!
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- Video overview & timeline
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- Bag of words BOW overview
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- Bag of words example code! sklearn | CountVectorizer, fit_transform
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- Building a text classification model using bag-of-words SVM
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- Predicting new utterances classes using our model transform
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- Unigram, bigram, ngrams using consecutive words in your model
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- Word vectors overview
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- Word vectors example code! Using spaCy library
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- Building a text classification model using word vectors
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- Predicting new utterances using our model
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- Regexes pattern matching in Python.
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- Stemming/Lemmatization in Python text normalization w/ NLTK library
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- Stopwords Removal removing most common words from sentences
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- Various other techniques spell correction, sentiment analysis, part-of-speech tagging.
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- Recurrent Neural Networks RNNs for text classification
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- Transformer architectures attention is all you need
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- Writing Python code to leverage transformers BERT | spacy-transformers
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- Writing a classification model using transformers/BERT
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- Fine-tuning transformer models
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- Bring it all together and build a high performance model to classify the categories of Amazon reviews!
Description:
Dive into a comprehensive tutorial on Natural Language Processing (NLP) using Python, covering fundamental concepts to advanced techniques. Explore bag-of-words, word vectors, stemming, lemmatization, and spell correction. Learn about transformer architecture and state-of-the-art models like OpenAI GPT and BERT. Gain hands-on experience with popular libraries such as sklearn, spaCy, NLTK, and TextBlob. Build text classification models, implement regex pattern matching, and fine-tune transformer models. Culminate your learning by developing a high-performance model to classify Amazon review categories, suitable for learners of all skill levels.

Complete Natural Language Processing Tutorial in Python

Keith Galli
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#Computer Science #Artificial Intelligence #Natural Language Processing (NLP) #Programming #Programming Languages #Python #LLM (Large Language Model) #BERT #Machine Learning #Bag of Words #Computational Linguistics #Lemmatization #Stemming #Word Vectors #Deep Learning #Transformer Architecture
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- Announcements!