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markdown-converter/src/analytics/writing-analytics.js
T

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JavaScript

/**
* Writing Analytics — pure computation engine
* No DOM dependencies. Exported analyze(text) returns a metrics object.
*/
const STOP_WORDS = new Set([
'the', 'a', 'an', 'is', 'are', 'was', 'were', 'be', 'been',
'have', 'has', 'had', 'do', 'does', 'did', 'will', 'would',
'could', 'should', 'to', 'of', 'in', 'for', 'on', 'with',
'at', 'by', 'from', 'as', 'and', 'or', 'but', 'if', 'it',
'its', 'this', 'that', 'these', 'those', 'i', 'me', 'my',
'we', 'our', 'you', 'your', 'he', 'him', 'his', 'she', 'her',
'they', 'them', 'their', 'not', 'no', 'so', 'than', 'too',
'very', 'also', 'just', 'about', 'up', 'out', 'what', 'which', 'who'
]);
function countSyllables(word) {
word = word.toLowerCase().replace(/(?:[^laeiouy]es|ed|[^laeiouy]e)$/, '');
word = word.replace(/^y/, '');
return word.match(/[aeiouy]{1,2}/gi)?.length || 1;
}
function extractWords(text) {
return text.match(/[a-zA-Z]+(?:['-][a-zA-Z]+)*/g) || [];
}
function getReadabilityLabel(score) {
if (score >= 90) return 'Very Easy';
if (score >= 70) return 'Easy';
if (score >= 50) return 'Standard';
if (score >= 30) return 'Difficult';
return 'Very Difficult';
}
function analyze(text) {
if (!text || !text.trim()) {
return {
wordCount: 0,
sentenceCount: 0,
paragraphCount: 0,
fleschEase: 0,
fleschGrade: 0,
readabilityLabel: 'N/A',
readingTime: 0,
speakingTime: 0,
uniqueWordCount: 0,
lexicalDiversity: 0,
avgSentenceLength: 0,
longestSentence: '',
longestSentenceLength: 0,
topWords: []
};
}
const words = extractWords(text);
const wordCount = words.length;
const sentences = text.split(/[.!?]+/).map(s => s.trim()).filter(Boolean);
const sentenceCount = Math.max(sentences.length, 1);
const paragraphs = text.split(/\n\s*\n/).map(p => p.trim()).filter(Boolean);
const paragraphCount = Math.max(paragraphs.length, 1);
let totalSyllables = 0;
for (const w of words) {
totalSyllables += countSyllables(w);
}
const fleschEase = Math.round((206.835 - 1.015 * (wordCount / sentenceCount) - 84.6 * (totalSyllables / wordCount)) * 10) / 10;
const fleschGrade = Math.round((0.39 * (wordCount / sentenceCount) + 11.8 * (totalSyllables / wordCount) - 15.59) * 10) / 10;
const readabilityLabel = getReadabilityLabel(fleschEase);
const readingTime = Math.ceil(wordCount / 200);
const speakingTime = Math.ceil(wordCount / 130);
const uniqueWords = new Set(words.map(w => w.toLowerCase()));
const uniqueWordCount = uniqueWords.size;
const lexicalDiversity = wordCount > 0 ? Math.round((uniqueWordCount / wordCount) * 1000) / 10 : 0;
const avgSentenceLength = Math.round((wordCount / sentenceCount) * 10) / 10;
let longestSentence = '';
let longestSentenceLength = 0;
for (const s of sentences) {
const sWords = extractWords(s);
if (sWords.length > longestSentenceLength) {
longestSentenceLength = sWords.length;
longestSentence = s.trim();
}
}
if (longestSentence.length > 80) {
longestSentence = longestSentence.substring(0, 80) + '...';
}
const wordFreq = {};
for (const w of words) {
const lower = w.toLowerCase();
if (!STOP_WORDS.has(lower) && lower.length > 1) {
wordFreq[lower] = (wordFreq[lower] || 0) + 1;
}
}
const topWords = Object.entries(wordFreq)
.sort((a, b) => b[1] - a[1])
.slice(0, 10)
.map(([word, count]) => ({ word, count }));
return {
wordCount,
sentenceCount,
paragraphCount,
fleschEase,
fleschGrade,
readabilityLabel,
readingTime,
speakingTime,
uniqueWordCount,
lexicalDiversity,
avgSentenceLength,
longestSentence,
longestSentenceLength,
topWords
};
}
module.exports = { analyze };