Extracting headline from Wikipedia by using regex with an text-extractor provided by instructor(code for text-extractor not include), then do a frame detection on it. Naturally, frame detection can be viewed as a text classification task, where the text are the news headlines and the classes/categories are the frames. We will take this approach to try and predict the news headlines. I implement Logistic Regression and Naïve Bays for it, and also write my own code to calculate the accuracy in our_metrics.py
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Extracting headline from Wikipedia by using regex, then do a frame detection on it. Naturally, frame detection can be viewed as a text classification task, where the text are the news headlines and the classes/categories are the frames. We will take this approach to try and predict the news headlines.
YuhaoT/NLP-Text-Classification
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Extracting headline from Wikipedia by using regex, then do a frame detection on it. Naturally, frame detection can be viewed as a text classification task, where the text are the news headlines and the classes/categories are the frames. We will take this approach to try and predict the news headlines.
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