Introduction to natural language processing in Python
Who is this presentation for?
- Beginners, data analysts, and business analysts
Level
Description
NLP is an exciting branch of AI that allows machines to break down and understand human language. Data scientists may often use NLP techniques to interpret text data for analysis. Alice Zhao walks you through text preprocessing techniques, machine learning techniques, and Python libraries for NLP.
Text preprocessing techniques include tokenization, text normalization, and data cleaning. Once in a standard format, various machine learning techniques can be applied to better understand the data. This includes using popular modeling techniques to classify emails as spam or not or to score the sentiment of a tweet on Twitter. Newer, more complex techniques can also be used, such as topic modeling, word embeddings, or text generation with deep learning.
You’ll see an example in a Jupyter notebook that goes through all of the steps of a text analysis project using several NLP libraries in Python, including NLTK, TextBlob, spaCy, and gensim, along with the standard machine learning libraries including pandas and scikit-learn.
Prerequisite knowledge
- Experience with programming (the tutorial is in Python, but familiarity in any language such as R, advanced Excel, etc. would be useful) and data analysis (ability to read charts, interpret summary statistics, etc.)
Materials or downloads needed in advance
- Attendees will need to install Anaconda and download files from a Github repo. Detailed instructions on how to do so are here: https://github.com/adashofdata/nlp-in-python-tutorial
What you'll learn
- Learn natural language processing basics including data cleaning, exploratory data analysis, sentiment analysis, topic modeling, and text generation—along with Python code
Alice Zhao
Metis
Alice Zhao is a senior data scientist at Metis, where she teaches 12-week data science bootcamps. Previously, she was the first data scientist and supported multiple functions from marketing to technology at Cars.com; cofounded a data science education startup where she taught weekend courses to professionals at 1871 in Chicago at Best Fit Analytics Workshop; was an analyst at Redfin; and was a consultant at Accenture. She blogs about analytics and pop culture on A Dash of Data. Her blog post, “How Text Messages Change From Dating to Marriage” made it onto the front page of Reddit, gaining over half a million views in the first week. She’s passionate about teaching and mentoring and loves using data to tell fun and compelling stories. She has her MS in analytics and BS in electrical engineering, both from Northwestern University.
Comments on this page are now closed.
Presented by
Elite Sponsors
Strategic Sponsors
Zettabyte Sponsors
Contributing Sponsors
Exabyte Sponsors
Content Sponsor
Impact Sponsors
Supporting Sponsor
Non Profit
Contact us
confreg@oreilly.com
For conference registration information and customer service
partners@oreilly.com
For more information on community discounts and trade opportunities with O’Reilly conferences
strataconf@oreilly.com
For information on exhibiting or sponsoring a conference
pr@oreilly.com
For media/analyst press inquires
Comments
Here’s the link to the Github repository: https://github.com/adashofdata/nlp-in-python-tutorial
Hi! Under “Materials or downloads needed in advance,” I see “downloaded Jupyter notebooks from the Github repository.” Would you please let me know which Github repository this refers to? Thank you!