Deep Learning, NLP, NMT, AI, ML
In this article, I am writing my implementation of a confusion matrix using python and NumPy. This below function can calculate a confusion matrix of any size or number of classes. If you don’t know what a confusion matrix is, check out this awesome video on it
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Welcome to the first article of the “Machine Learning Deep Dive” biweekly series. Each article will consist of a theoretical summary based on Ethem Alpaydın’s Machine Learning book. For each method, there will be a separate GitHub repository containing sample codes and examples prepared from the scratch and/or using the open-source Python libraries. Wish you pleasant reading!
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In this article, we will discuss how to implement sentiment analysis on a raw tweets dataset in python, find the polarity scores to classify the sentiments, and train a Long short-term memory (LSTM) and Convolutional Neural Network to predict the sentiment polarity and compare the results. Reference
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VECTOR EMBEDDING : it’s a technique for learning numerical representations for token (word) that approximate their lexical meaning.these representations are learned by observed words in their context of occurrence in large volumes of data.
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