Explore my Document Clustering and Theme Extraction project, offering effective tools for organizing and extracting valuable insights from extensive text datasets. The objective is to provide a systematic approach to comprehend and organize unstructured text data.
A new package is designed to process complex conceptual prompts like "Dark Enlightenment" by leveraging language models with structured pattern matching. Users provide a descriptive text input related
holiday-narrative-parser processes holiday event narratives to extract themes, tone, and key details for analysis and summarization.
A new package designed to analyze and summarize video content by processing pre-extracted textual information such as transcripts, subtitles, and descriptions. It leverages structured pattern matching
A new package designed to facilitate structured and reliable analysis of user input related to software refactoring in the context of LLM capabilities. It accepts a user's discussion or question about
turn player comments into a realistic dev to-do list.
π Extract structured insights from holiday narratives with this lightweight Python parser, enhancing your storytelling and analysis capabilities.
Add a description, image, and links to the theme-extraction topic page so that developers can more easily learn about it.
To associate your repository with the theme-extraction topic, visit your repo's landing page and select "manage topics."