The system that I propose to implement is an end-to-end system that extracts the text from probate books and seeds them into a database with entities such as name, county, date, relationships etc. This system can, therefore, be broken down into three phases -
Text extraction using Optical Character Recognition
Named Entity Recognition using Language Processing
Database Seeding based on the entities generated
Due to lack of samples to train a Named Entity Recognizer, I've made use of the Stanford NER Wrapper and NLTK to produce the results.
Refer Issue #7
The system that I propose to implement is an end-to-end system that extracts the text from probate books and seeds them into a database with entities such as name, county, date, relationships etc. This system can, therefore, be broken down into three phases -
Due to lack of samples to train a Named Entity Recognizer, I've made use of the Stanford NER Wrapper and NLTK to produce the results.