Tutorial 1

TextBlob, a Python NLP toolkit

"TextBlob is a Python (2 and 3) library for processing textual data. It provides a consistent API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and more."

Files:
Download the Jupyter Notebook: Attach:TechTutorial_TextBlob_NLP_toolkit.ipynb.zip
Download the data file (refugee-sep-sample.csv)
Tutorial contents:
Library, toolkit and file imports
Preprocessing the data
How to tokenize a string
How to classify words
How to sentiment and subjectivity
How to detect and translate languages
How to train a simple text classifier
Resources
Resources:
TextBlob documentation
Analytics Vidhya blog posts on NLP
Penn Treebank II parts of speech tag set
Python Programming for the Humanities and an interactive Notebook file of tutorials
Other toolkit tutorials that use .csv and .txt file formats:
Life is Study blog post on data analysis of csv text files with Pandas and regular expressions
Jonathan Soma blog on reading in and analyzing multiple .txt files with glob and sklearn