Classifiers for NLP sarcasm headlines dataset.
So as part of my PhD I chose the delve into NLP, I found it interesting and with the new developments that Prof. Hinton is giving us I like to think we all (as NLP students) can be considered as the tip of the spear. But now back to my post this is not for deep learning just yet, that will come in a while this is a simple showcase of what I have learned from all the books, courses (Udemy), and general tinkering I have done. This code gets a nice 91%. in the kaggle sarcasm headlines dataset. First thing are the python imports to begin the work. #if I combine both data sets and run it like that one goes down from 0.91 and to 0.81 another up from 0.60 to 0.84 depending the hyper-parameters of the neural network and the SVC #1: Perform imports and load the dataset into a pandas DataFrame import numpy as np import pandas as pd import re import json Next we read the data, as follows. #df = pd.read_json('./Sarcasm_Headlines_Dataset....
