Metadata-Version: 2.4
Name: tubesense
Version: 0.3.0
Summary: Multi-dimensional sentiment analysis engine for YouTube video transcripts
Project-URL: Homepage, https://github.com/Pointmatic/tubesense
Project-URL: Repository, https://github.com/Pointmatic/tubesense
Project-URL: Issues, https://github.com/Pointmatic/tubesense/issues
Author-email: Pointmatic <hello@pointmatic.com>
License: Apache-2.0
License-File: LICENSE
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Typing :: Typed
Requires-Python: >=3.12
Description-Content-Type: text/markdown

# tubesense

[![PyPI version](https://img.shields.io/pypi/v/tubesense.svg)](https://pypi.org/project/tubesense/)
[![Python versions](https://img.shields.io/pypi/pyversions/tubesense.svg)](https://pypi.org/project/tubesense/)
[![License](https://img.shields.io/pypi/l/tubesense.svg)](https://github.com/Pointmatic/tubesense/blob/main/LICENSE)
[![Typed](https://img.shields.io/badge/typed-py.typed-blue.svg)](https://peps.python.org/pep-0561/)

A multi-dimensional semantic analysis engine for long-form content, initially targeting YouTube video transcripts.

`tubesense` segments transcripts into a hierarchical discourse structure (utterances → verses → chapters), scores each segment across the ten axes of the Multi-Dimensional Sentiment Analysis (MDSA) framework, assembles results into a semantic graph, and exposes that graph for retrieval and higher-order analysis.

> This is an early release reserving the `tubesense` package name. Full functionality is under active development.
