Pinoy Summarizer

Purpose & User Intent: The Pinoy Summarizer condenses long Filipino or mixed-language texts into concise, accurate briefs. Target users include students, editors, journalists, researchers, educators, and content teams who need quick overviews for study notes, outlines, or briefing materials. It is used when digesting lengthy articles, reports, interviews, or transcripts to extract core ideas while preserving essential terms and tone. Core Logic & Features: It employs a hybrid summarization approach, combining extractive selection and abstractive rewriting to balance fidelity and readability. Required features include input text, language detection, and a target length setting. Optional/advanced features include tone control, emphasis on named entities, preservation of quotes, output in bullet point or paragraph formats, and language-specific handling for Filipino discourse. Inputs & Outputs: Inputs include text (string, UTF-8, sample value: \"Halimbawa: ...\"), target_length (short, medium, long or character count), language preference (auto or specify Filipino or English). Outputs include summary_text (string), summary_length (characters), detected_language, and confidence_score. Algorithms & Calculations: The tool detects language, segments text into sentences, ranks sentences by semantic and lexical importance, and then generates a length-bounded summary. It uses a hybrid pipeline that combines extractive scoring with optional abstractive rewriting to enhance cohesion, while preserving named entities and culturally relevant terms common in Philippine contexts. Error & Edge Cases: If input is empty or contains non-text data, returns an empty summary with a validity flag. Extremely long inputs are processed in chunks and aggregated. Unsupported languages trigger a fallback to a basic extractive mode. External data constraints may reduce accuracy; outputs are limited to the provided text scope. Industry/Region & Localization: Supports Filipino and English text with retention of culturally specific terms, names, and conventions. Outputs suit education, media briefs, academic notes, and content planning within Philippine contexts. Privacy follows session-based processing. Assumptions & Exclusions: Assumes input text is in Filipino, English, or Taglish; not a translation tool; no image or multimedia parsing; no intention to store beyond the session; excludes sentiment or stylistic judgments unless requested.