Skip to content

Akshayc1/named-entity-recognition

Repository files navigation

Named Entity Recognition

In Natural Language Processing (NLP) an Entity Recognition is one of the common problem. The entity is referred to as the part of the text that is interested in. In NLP, NER is a method of extracting the relevant information from a large corpus and classifying those entities into predefined categories such as location, organization, name and so on. Information about lables:

  • geo = Geographical Entity

  • org = Organization

  • per = Person

  • gpe = Geopolitical Entity

  • tim = Time indicator

  • art = Artifact

  • eve = Event

  • nat = Natural Phenomenon

      1. Total Words Count = 1354149 
      2. Target Data Column: Tag
    

About

Name Entity Recognition using Python and Keras

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published