Text Processing 1 -- Old Fashioned Methods (Bag of Words and TFxIDF)

Let's make some coding practice… In the first step, we will load required dependencies: nltk, re, pandas, and numpy. Then, we construct a document array named docs which includes sample documents. After initialization of doc array, we construct pandas data frames that is a 2-dimensional labeled data structure. Pre-processing is one of the most important step to prepare text documents "before any ML or DL task". Tokenization, stop-words elimination and stemming are the most widely used pre-processing methods.