Natural Language Processing in Python
Alice Zhao
https://pyohio.org/2018/schedule/pres...
Natural language processing (NLP) is an exciting branch of artificial intelligence (AI) that allows machines to break down and understand human language. As a data scientist, I often use NLP techniques to interpret text data that I'm working with for my analysis. During this tutorial, I plan to walk through text pre-processing techniques, machine learning techniques and Python libraries for NLP.
Text pre-processing 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.
We will walk through an example in 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.
Setup Instructions
[ https://github.com/adashofdata/nlp-in...](https://github.com/adashofdata/nlp-in...)
===
https://pyohio.org
A FREE annual conference for anyone interested in Python in and around Ohio, the entire Midwest, maybe even the whole world.
On this page of the site you can watch the video online Natural Language Processing in Python with a duration of hours minute second in good quality, which was uploaded by the user PyOhio 29 July 2018, share the link with friends and acquaintances, this video has already been watched 1,242,212 times on youtube and it was liked by 16 thousand viewers. Enjoy your viewing!
