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theme-extraction

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chigwell / concept-extractor

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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

theme-extraction llm-based-summarization concise-summary-generation structured-pattern-matching key-element-extraction conceptual-prompt-processing text-only-input-handling highly-reliable-output repeatable-summarization philosophical-analysis educational-insight analytical-contexts no-multimedia-processing structured-response-format pattern-matched-tokenization semantic-theme-categorization contextual-viewpoint-extraction
  • Updated Dec 21, 2025
  • Python

chigwell / video-text-summarizer

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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

video-summarization text-analysis content-discovery knowledge-extraction theme-extraction topic-identification transcript-analysis insight-generation subtitle-analysis concise-summaries domain-specific-insights video-description-analysis structured-pattern-matching text-based-video-analysis efficient-information-retrieval
  • Updated Dec 21, 2025
  • Python

chigwell / refactor-llm-analyzer

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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

pattern-matching software-refactoring knowledge-extraction theme-extraction structured-analysis insights-generation automated-decision-making llm-capabilities user-input-processing pattern-validation text-based-input structured-summaries reliable-analysis concern-extraction strategy-extraction automatic-categorization free-form-discussion-analysis consistent-interpretation
  • Updated Dec 21, 2025
  • Python

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