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structured-pattern-matching

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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 / moddingtextparser

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A new package is designed to analyze user-provided text questions about technical modding topics to identify key concepts, such as detecting mentions of premium checks within Android app modifications

text-analysis information-extraction technical-questions structured-summary structured-pattern-matching modding-topics key-concept-identification android-app-modifications premium-checks automated-understanding
  • 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

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