June 11, 2024, 6:12 p.m. | Samagra Shrivastava

DEV Community dev.to

I’ll walk you through the task of detecting sarcasm with machine learning using the Python programming language.

It reads a dataset of headlines labeled as sarcastic or non-sarcastic, processes the data to map the labels into human-readable form, and converts the text data into a matrix of token counts using the CountVectorizer.

The data is then split into training and testing sets, and a Bernoulli Naive Bayes classifier is trained on the training set. The model's accuracy is evaluated on …

ai data dataset detection form human labels language machine machine learning machinelearning map matrix processes programming programming language python python programming language sarcasm text through token you

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