swarmauri_parser_entityrecognition 0.6.7.dev1

Entity Recognition Parser for Swarmauri.

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Swarmauri Parser Entityrecognition

EntityRecognitionParser leverages NER capabilities to parse text and extract entities with their respective tags such as PERSON, LOCATION, ORGANIZATION, etc.

Installation

pip install swarmauri_parser_entityrecognition

Usage

Basic usage examples with code snippets

from swarmauri.parsers.EntityRecognitionParser import EntityRecognitionParser

# Initialize the parser
parser = EntityRecognitionParser()

# Parse text to extract entities
text = "Barack Obama was born in Hawaii."
entities = parser.parse(text)

# Print extracted entities
for entity in entities:
    print(f"Entity: {entity.content}, Type: {entity.metadata['entity_type']}")

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