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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Named Entity Recognition
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By: Haptik Latest Version: 0.1

Product Overview

Named Entity Recognition (NER) is a subtask of information extraction that seeks to locate and classify named entities in text into predefined categories such as the name of a person, location, time, quantity, etc. Chatbot NER is heuristic based that uses several NLP techniques to extract necessary entities from chat interface. In Chatbot, there are several entities that need to be identified and each entity has to be distinguished based on its type as a different entity has different detection logic. We have classified entities into four main types i.e. numeral, pattern, temporal and textual.

Key Data

By Haptik
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

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