Named Entity Recognition in Python
T. A. Subramanya Paddillaya (~t._a._subramanya) |
Named Entity Recognition is the task of extracting named entities like Person, Place etc from the text. It is an important step in extracting information from unstructured text data. I will explore various approaches for entity extraction using both existing libraries and also implementing state of the art approaches from scratch
Agenda for the Talk:
Introducing Named Entity Recognition
Standard Named Entity using NLTK and Spacy
Training Custom Entity Tagger using Spacy or Rasa
Standard Algorithms for NER
- Conditional Random Field (CRF)
- Deep Learning for NER using LSTM in Keras
- Structured Deep Learning for NER using LSTM-CRF
- End-to-End NER via Bi-directional LSTM-CNN-CRF
A Basic Knowledge of Python, Machine Learning and Natural Language Processing.
The content of the talk will be shared after the session in form of Github Repository.
Subramanya T A is Senior Data Scientist at Sentienz. He heads the Data Science team at Sentienz.
LinkedIn Profile: https://www.linkedin.com/in/subramanya-t-a-7306a729/
Sentienz Website: http://www.sentienz.com/