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A new package that analyzes social media post text to extract structured insights about audience engagement patterns, such as identifying common themes in highly liked content or predicting potential
pip install socialtextlytics
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.0.0>=0.0.0>=0.3.0socialtextlytics publishes 1 wheel and 1 source archive for version 2025.12.21131030. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .