Entity extraction using Deep Learning – Towards Data Science

Entity extraction from text is a major Natural Language Processing (NLP) task. As the recent advancement in the deep learning(DL) enable us to use them for NLP tasks and producing huge differences in accuracy compared to traditional methods. I have attempted to extract the information from article using both deep learning and traditional methods. Result was amazing as DL method got accuracy of 85% over 65% from legacy methods. The aim of the project is to tag each words of the articles into 4 categories: organisation, person, miscellaneous, and other.