Introduction to Natural Language Processing - Key Concepts and Business Applications

Gain a comprehensive understanding of Natural Language Processing (NLP) in this 56-minute talk by Partha Dey, Infrastructure Manager at Perlego, presented at the Data Science Festival Summer School 2021. Explore key NLP concepts including corpus, tokenization, normalization, stemming, lemmatization, stop words, sentiment analysis, bag-of-words, and n-grams. Discover practical business applications of NLP and learn why these techniques are widely adopted. Understand the crucial role of cloud computing in training large-scale NLP models. Delve into the mechanics behind voice-activated assistants like Siri, Google, and Alexa, uncovering how machines comprehend human language with remarkable speed. The talk covers a wide range of topics, from basic NLP building blocks to advanced concepts such as Latent Dirichlet Allocation, Neural Topic Modelling, Sequence to Sequence learning, BlazingText, and Amazon Comprehend. Join the Data Science Festival community to access more cutting-edge ideas and solve real-world problems in the field of data science.

Intro
Introduction To NLP
What's on the menu?
What is Natural Language Processing?
How do businesses use NLP?
Humans are annoying.
Normalization
Stemming
See a theme?
Named Entity Recognition
Natural Language Toolkit
Lemmatization with NLTK
TF - IDF & Sentiment Analysis
Text Analysis With AWS
Latent Dirichlet Allocation
Neural Topic Modelling
Sequence to Sequence
BlazingText
Amazon Comprehend