Information extraction with Python

This talk will present a named entity recognition (NER) system for extracting attributes and values, like person, company, place or time, from various of text data. I will introduce how to combine several python tools to build this system. First, use a python written annotation tool BRAT to create a custom annotated corpus. Second, use python to link CRFsuite, training a Conditional Random Fields model to labeling our list of text data, the labeling result will be further analyzed by pandas and scikit-learn.