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class ContentSEOAnalyzer {
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constructor(content, targetKeyword) {
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this.content = content;
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this.targetKeyword = targetKeyword.toLowerCase();
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this.plainText = this.stripHTML(content);
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this.sentences = this.getSentences();
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this.paragraphs = this.getParagraphs();
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this.wordCount = this.getWordCount();
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}
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// Remove HTML tags and get plain text
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stripHTML(html) {
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return html.replace(/<[^>]*>/g, ' ')
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.replace(/\s+/g, ' ')
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.trim();
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}
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// Improved sentence detection for mixed content
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getSentences() {
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// First clean the text from extra spaces and normalize punctuation
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let text = this.plainText
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.replace(/\s+/g, ' ')
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.replace(/[\u200B-\u200D\uFEFF]/g, ''); // Remove zero-width spaces
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// Handle both RTL and LTR sentence endings
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// Added more Arabic/Persian punctuation marks
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const sentenceEndings = [
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'.', // English period
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'!', // English exclamation
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'?', // English question mark
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'؟', // Arabic question mark
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'।', // Arabic full stop
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'۔', // Urdu full stop
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'،', // Arabic comma when followed by a new sentence
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';', // English semicolon when used as sentence separator
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'؛', // Arabic semicolon
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];
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// Create a regex pattern that matches any of these endings
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// followed by a space and either:
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// 1. An uppercase letter (for English)
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// 2. An Arabic/Persian letter
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// 3. A number (for both scripts)
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const pattern = new RegExp(
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`([${sentenceEndings.join('')}])\\s*(?=[A-Z\u0600-\u06FF\u0750-\u077F\u08A0-\u08FF0-9])`,
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'g'
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);
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// Split into sentences
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let sentences = text
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.replace(pattern, '$1|')
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.split('|')
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.map(sentence => sentence.trim())
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.filter(sentence => {
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// Remove empty sentences and very short ones (less than 2 words)
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const words = sentence.split(/\s+/);
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return sentence.length > 0 && words.length >= 2;
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});
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// Additional cleaning: merge incorrectly split sentences
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sentences = this.cleanSentences(sentences);
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return sentences;
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}
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// Helper method to clean and merge sentences that might have been incorrectly split
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cleanSentences(sentences) {
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const cleaned = [];
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let current = '';
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for (let sentence of sentences) {
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// Check if sentence starts with lowercase or is very short
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if (current && (
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sentence.charAt(0).match(/[a-z]/) || // Starts with lowercase
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sentence.length < 10 || // Very short
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/^[و،]/.test(sentence) // Starts with Arabic 'and' or comma
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)) {
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current += ' ' + sentence;
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} else {
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if (current) {
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cleaned.push(current.trim());
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}
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current = sentence;
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}
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}
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// Don't forget to add the last sentence
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if (current) {
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cleaned.push(current.trim());
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}
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// Final filtering to remove any remaining invalid sentences
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return cleaned.filter(sentence => {
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// Ensure minimum length and word count
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const words = sentence.split(/\s+/);
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return sentence.length >= 10 && words.length >= 2;
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});
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}
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// Adjust the readability analysis to be more accurate with the new sentence detection
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analyzeReadability() {
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const avgSentenceLength = this.sentences.length ?
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this.wordCount / this.sentences.length : 0;
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const avgParagraphLength = this.paragraphs.length ?
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this.wordCount / this.paragraphs.length : 0;
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// Increased threshold for complex sentences
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const complexSentences = this.sentences.filter(sentence =>
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sentence.split(/\s+/).filter(word => word.length > 0).length > 25
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).length;
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const complexSentencePercentage = this.sentences.length ?
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(complexSentences / this.sentences.length) * 100 : 0;
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return {
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avgSentenceLength,
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avgParagraphLength,
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complexSentencePercentage,
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totalParagraphs: this.paragraphs.length,
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totalSentences: this.sentences.length
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};
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}
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// Helper method to calculate statistical variation in sentence lengths
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calculateVariation(lengths) {
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if (lengths.length < 2) return 0;
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const mean = lengths.reduce((sum, val) => sum + val, 0) / lengths.length;
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const variance = lengths.reduce((sum, val) => sum + Math.pow(val - mean, 2), 0) / lengths.length;
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return Math.sqrt(variance);
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}
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// Calculate a more nuanced readability score
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calculateReadabilityScore(sentenceLengths) {
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if (sentenceLengths.length === 0) return 0;
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const avg = sentenceLengths.reduce((sum, len) => sum + len, 0) / sentenceLengths.length;
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const variation = this.calculateVariation(sentenceLengths);
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// Ideal ranges:
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// Average sentence length: 15-20 words
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// Variation: 5-10 words (some variety but not too much)
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let score = 10;
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// Penalize for extreme average lengths
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if (avg < 10) score -= 2;
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else if (avg > 25) score -= 2;
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else if (avg > 20) score -= 1;
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// Penalize for too much or too little variation
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if (variation < 3) score -= 1; // Too monotonous
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else if (variation > 15) score -= 1; // Too varied
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return Math.max(0, Math.min(10, score));
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}
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// Get paragraphs from content
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getParagraphs() {
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return this.content
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.split(/<\/p>|<\/div>|<br\s*\/?>|\n/)
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.map(p => this.stripHTML(p))
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.filter(p => p.trim().length > 0);
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}
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// Get word count
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getWordCount() {
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return this.plainText.split(/\s+/).filter(word => word.length > 0).length;
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}
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// Calculate average sentence length
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getAverageSentenceLength() {
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if (this.sentences.length === 0) return 0;
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const totalWords = this.sentences
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.map(sentence => sentence.split(/\s+/).filter(word => word.length > 0).length)
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.reduce((sum, length) => sum + length, 0);
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return totalWords / this.sentences.length;
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}
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// Calculate average paragraph length
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getAverageParagraphLength() {
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if (this.paragraphs.length === 0) return 0;
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const totalWords = this.paragraphs
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.map(para => para.split(/\s+/).filter(word => word.length > 0).length)
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.reduce((sum, length) => sum + length, 0);
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return totalWords / this.paragraphs.length;
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}
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// Analyze keyword usage
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analyzeKeyword() {
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// Check keyword size
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let shortKeyword = false;
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if (this.targetKeyword.length < 2){
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shortKeyword = true;
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}
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const keywordCount = (this.plainText.toLowerCase().match(new RegExp(this.targetKeyword, 'g')) || []).length;
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const density = (keywordCount / this.wordCount) * 100;
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// Check keyword in first paragraph
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const firstParagraphHasKeyword = this.paragraphs[0]?.toLowerCase().includes(this.targetKeyword);
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// Check keyword in headings
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const headings = this.content.match(/<h[1-6][^>]*>(.*?)<\/h[1-6]>/gi) || [];
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const headingsWithKeyword = headings.filter(h =>
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this.stripHTML(h).toLowerCase().includes(this.targetKeyword)
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).length;
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return {
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count: keywordCount,
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density,
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firstParagraphHasKeyword,
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headingsWithKeyword,
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shortKeyword: shortKeyword,
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};
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}
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// Generate analysis report with 0-10 rating
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generateReport() {
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const keywordAnalysis = this.analyzeKeyword();
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const readabilityAnalysis = this.analyzeReadability();
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let score = 0;
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const feedback = [];
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// Score components (each component adds up to 10)
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// 1. Content Length (2 points)
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if (this.wordCount >= 300) score += 2;
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else feedback.push(window.TR.contentShort);
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// 2. Keyword Usage (2 points)
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if (keywordAnalysis.density >= 0.5 && keywordAnalysis.density <= 2.5) score += 0.5;
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if (keywordAnalysis.firstParagraphHasKeyword) score += 0.5;
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if (keywordAnalysis.headingsWithKeyword > 0) score += 1;
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if (keywordAnalysis.count >= 2) score += 0;
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if (keywordAnalysis.density < 0.5) feedback.push(window.TR.destinyLow);
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if (keywordAnalysis.density > 3.5) feedback.push(window.TR.destinyHigh);
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if (keywordAnalysis.shortKeyword) feedback.push(window.TR.shortKeyword);
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if (!keywordAnalysis.firstParagraphHasKeyword) feedback.push(window.TR.keywordFirstParagraph);
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if (keywordAnalysis.headingsWithKeyword === 0) feedback.push(window.TR.keywordHeading);
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// 3. Readability (4 points)
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if (readabilityAnalysis.avgSentenceLength <= 30) score += 1;
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if (readabilityAnalysis.avgParagraphLength <= 150) score += 1;
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if (readabilityAnalysis.complexSentencePercentage <= 25) score += 1;
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if (this.paragraphs.length >= 3) score += 1;
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if (readabilityAnalysis.avgSentenceLength > 30) feedback.push(window.TR.sentencesLong);
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if (readabilityAnalysis.avgParagraphLength > 150) feedback.push(window.TR.paragraphsLong);
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if (readabilityAnalysis.complexSentencePercentage > 25) feedback.push(window.TR.sentencesComplex);
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if (this.paragraphs.length < 3) feedback.push(window.TR.paragraphAdd);
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// 4. Structure & Formatting (2 points)
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const hasHeadings = /<h[1-6][^>]*>/i.test(this.content);
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const hasLists = /<[ou]l[^>]*>/i.test(this.content);
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if (hasHeadings) score += 1;
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if (hasLists) score += 1;
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if (!hasHeadings) feedback.push(window.TR.headingAdd );
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if (!hasLists) feedback.push(window.TR.useList);
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console.log(readabilityAnalysis);
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return {
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score: Math.min(10, Math.round(score * 10) / 10),
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feedback,
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details: {
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wordCount: this.wordCount,
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keywordUsage: {
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count: keywordAnalysis.count,
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density: `${keywordAnalysis.density.toFixed(1)}%`,
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inFirstParagraph: keywordAnalysis.firstParagraphHasKeyword,
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inHeadings: keywordAnalysis.headingsWithKeyword
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},
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readability: {
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avgWordsPerSentence: Math.round(readabilityAnalysis.avgSentenceLength),
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avgWordsPerParagraph: Math.round(readabilityAnalysis.avgParagraphLength),
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complexSentences: `${readabilityAnalysis.complexSentencePercentage.toFixed(1)}%`,
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paragraphCount: readabilityAnalysis.totalParagraphs
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}
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}
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};
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}
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// Function to determine score status
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getScoreStatus(score) {
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if (score >= 7) return { class: 'good', text: window.TR.good };
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if (score >= 5) return { class: 'average', text: window.TR.averageNeeed };
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return { class: 'poor', text: window.TR.poor };
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}
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// Function to create and display the report
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displaySEOReport(report, targetElement) {
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// // Add styles to document if not already present
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// if (!document.getElementById('seo-report-styles')) {
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// const styleSheet = document.createElement('style');
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// styleSheet.id = 'seo-report-styles';
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// styleSheet.textContent = styles;
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// document.head.appendChild(styleSheet);
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// }
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const scoreStatus = this.getScoreStatus(report.score);
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const reportHTML = `
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<div class="seo-report">
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<div class="seo-score-container">
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<div class="seo-score">
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<div class="seo-score-circle ${scoreStatus.class}">
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${report.score.toFixed(1)}
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</div>
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</div>
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<div class="seo-status">
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<h3>${ window.TR.SEOScore}: ${scoreStatus.text}</h3>
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<p>${window.TR.basedOnKeyword}</p>
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</div>
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</div>
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<div class="seo-details">
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<div class="seo-feedback">
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<h4>${window.TR.recommendations}</h4>
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<ul>
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${report.feedback.map(item => `<li>${item}</li>`).join('')}
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</ul>
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</div>
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<div class="seo-metrics">
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<div class="metric-card">
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<h4>${window.TR.contentLength}</h4>
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<div class="metric-value">${report.details.wordCount} ${ window.TR.words}</div>
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</div>
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<div class="metric-card">
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<h4>${window.TR.keywordUsage}</h4>
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<div class="metric-value">
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${report.details.keywordUsage.count} ${ window.TR.times}
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(${report.details.keywordUsage.density})
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</div>
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</div>
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<div class="metric-card">
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<h4>${window.TR.avgSenLen}</h4>
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<div class="metric-value">
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${report.details.readability.avgWordsPerSentence} ${ window.TR.words}
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</div>
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</div>
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<div class="metric-card">
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<h4>${window.TR.avgParaStruc}</h4>
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<div class="metric-value">
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${report.details.readability.paragraphCount} ${ window.TR.paragraphs}
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(${window.TR.avg} ${report.details.readability.avgWordsPerParagraph} ${ window.TR.words})
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</div>
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</div>
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</div>
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</div>
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</div>
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`;
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const targetDiv = document.getElementById(targetElement);
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if (targetDiv) {
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targetDiv.innerHTML = reportHTML;
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}
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}
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}
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export default ContentSEOAnalyzer;
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