PyObjC Framework: LatentSemanticMapping

12.1 · active · verified Tue Apr 14

This library provides Python wrappers for Apple's LatentSemanticMapping framework on macOS, enabling Python applications to leverage latent semantic analysis capabilities for tasks like text similarity and natural language processing. It is part of the larger PyObjC project, currently at version 12.1, with releases typically tied to macOS SDK updates and Python version support cycles.

Warnings

Install

Imports

Quickstart

This quickstart demonstrates how to import and instantiate a basic object from the LatentSemanticMapping framework using PyObjC.

from LatentSemanticMapping import LSMSentence
import objc

# Instantiate a simple sentence object using the framework
sentence_string = "The quick brown fox jumps over the lazy dog."
sentence = LSMSentence.sentenceWithString_(sentence_string)

print(f"Created LSMSentence object: {sentence}")
print(f"Content: {sentence.string()}")

# You would typically use this with an LSMLanguageModel for semantic analysis
# (e.g., LSMLanguageModel.languageModelForLocale_options_error_)
# which requires specific setup (e.g., locale, options, or training data).

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