Introduction to Natural Language Processing (NLP)

This talk is an introduction to Natural Language Processing (NLP) and its parent areas of Artificial Intelligence and Linguistics. We will discuss real use cases of NLP in the world today - starting with the core technology, and how that core technology is applied to solving real-world problems. We will focus on the following 3 topics in NLP:

1) Language Models: Used for auto-complete in text, translating from one language to another
2) Part of Speech: Used for keyword extraction, parsing
3) Word Embeddings: Used as a thesaurus, topic identification

Presenter Bio:
Dr. Rutu Mulkar is the founder of Hunchera, and previously the founder of Ticary Solutions (acquired by Sigmoidal). She received her Ph.D. in Natural Language Processing from USC and has contributed to IBM's Watson system that defeated humans in Jeopardy!

Table of Contents:
0:00 – Overview
3:00 – Syntax
6:38 – Context matters
8:00 – Part of speech tags
9:34 – Parsing resources
11:00 – Building your own tagger
19:21 – POS tags
21:08 – Keyword extraction
22:00 – Language models
48:00 – QnA

Slides can be found here:

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[theunityofthejust-justifyi]

This lecture is the best introduction to the NLP that I have been able to find. Thank you, Dr. Mulkur.

[blendaguedes]

Amazing lecture! Thank you!
I hate to see the interruptions with questions doubting the methods. I admire you posture.

[KishoreKumar-sjen]

Very Well Structured Lecture and Handled the Questions Well. Good Job. Thanks !

[sumanmondal]

Thank you for sharing this, it would be very helpful for my project in NLP.

[nidhidhakan]

The people who are questioning don't seem to have much idea and are really derailing her.

[maratkopytjuk]

Thank you! I just watched it to have a broad overview about the topic, to better understand the work of our student. Would be nice to have a part II about how to train CBOW and how modern language models like BERT work ...

[alexanderoconnor]

Excellent presentation. Well worth watching. Its unfortunate that she was interrupted with so many poor questions by people who don't seem to have being paying attention.

[arjunchakravarti]

Nice job - worth posting a version without the questions

[karthickdurai]

great talk i was expecting a deeper insights on word embeddings though

[nomanshaikhali]

Hi, Which will be better for stock prices sentimental analysis
Bag of words
Tfidf
Also discussed with reason plz?
Looking forward to hearing from you soon!!

[Mew__]

Great speaker, strange audience. I think she should spend less time asking whether the audience has *more* questions than were already asked, because with every round of questions, they get more low-quality and off-topic ("Does the brain work with probabilities?" 🤡).
Also, 49:55 left me scarred.

[paulthompson]

How ironic that an expert in the English language hasn't mastered a native English accent (e.g., Western American English).