Reference Material:

https://towardsdatascience.com/an-implementation-guide-to-word2vec-using-numpy-and-google-sheets-13445eebd281
Data Preparation — Define corpus, clean, normalise and tokenise words
To begin, we start with the following corpus:
“natural language processing and machine learning is fun and exciting”
For simplicity, we have chosen a sentence without punctuation and capitalization. Also, we did not remove stop words “and” and “is”.
In reality, text data are unstructured and can be “dirty”. Cleaning them will involve steps such as
o removing stop words,
o removing punctuations,
o convert text to lowercase (actually depends on your use-case),
o replacing digits, etc.
o After preprocessing, we then move on to tokenising the corpus
Answer: B, C, F