Natural Language Processing (Beginners)

Natural Language Processing, or NLP, is a very trendy topic these days. But let me remind you, it all started in around 1990~ when people started to link our language with the computers. It was known as Information Retrieval at that time, which was researched a lot by companies like Yahoo and similar to create Search Engines, which were the first practical demonstration of Information Retrieval in modern computing.
NLP, basically is trying to make the computer understand the Human’s language and deciding the action/outcome after interpreting what a person said in maybe English, German or any other native language.

This Natural Language Processing (NLP) course will be aimed to begin understanding how to work with the Natural Language and how to Process it via code to accomplish some goals.

We will be using Python mostly with some frameworks like NLTK, Spacy, etc to compare how they work and which could be better in which situation. We would be making a project as we go through so that we could understand how and what can be done using these techniques.

Course Structure

  1. Tokenizing Words and Sentences, Stopwords Removal.
  2. Stemming and Lemmatization.
  3. POS Tagging and Categorization.
  4. Chunking and Chinking.
  5. Named Entity Recognition.
  6. Topic Modelling.
  7. More to Come Soon….

In short, we will not be only studying what they are, but actually WHY these features and algorithms are and WHERE are they used in making NLP applications.

The links would be added, once these blogs get posted. To be updated, please check the bottom of the page for “Follow Blog via Email” so that you follow this course and be updated of the new topics..!

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