Natural Language Processing Project

NLP is one of the components of Artificial intelligence which is the ability of a computer program to understand the human speech.

Now, let's dig deep to learn how we can make a fully fledged model to understand textual data.

What have we learnt so far

In today's lecture we learned some of the core concepts invloved in Natural language processing such as :-

Lets review some of the concepts taught in the class. At the end of the assignment you'll be able to:

Implement the necessary preprocessing steps required while processing natural language.
Show contextual understanding learned by machine.

For this exercise, we will use the Twenty Newsgroups Data Set,which comprises of 20000 messages taken from 20 newsgroups.

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
.idea		.idea
data		data
q01_load_data		q01_load_data
q02_tokenize		q02_tokenize
q03_stop_word_stemmer		q03_stop_word_stemmer
q04_count_vectors		q04_count_vectors
.DS_Store		.DS_Store
README.md		README.md
__init__.py		__init__.py
__init__.pyc		__init__.pyc
config.json		config.json
q01_load_data.ipynb		q01_load_data.ipynb
q02_tokenize.ipynb		q02_tokenize.ipynb
q03_stop_word_stemmer.ipynb		q03_stop_word_stemmer.ipynb
q04_count_vectors.ipynb		q04_count_vectors.ipynb
test_sol.pkl		test_sol.pkl
user_sol.pkl		user_sol.pkl