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This post explains Navie Bayes and how to use it for training a model for sentiment analysis on tweets.
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This post covers the topics about logistic regression (LR) and the cost function and gradient descent used in LR. At the end, it gives a code example using LR for sentiment analysis on tweets.
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This post discusses about building vocabulary and feature extraction for NLP.
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This post discusses the transformer.
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This post discusses the self-attention algorithm.
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This post discusses the back propagation through time (BPTT).
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This post discusses the recurrent neural networks.
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This post discusses word embeddings and the methods of using word embeddings.
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This post covers tokenization and building a vector representation of a statement.
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This post shows some case studies in CNN such as LeNet-5, AlexNet, VGG, ResNet, and GoogleNet.