Build a comprehensive text analysis tool using HTML5, CSS3, and JavaScript. Create a clean interface with text input area and results dashboard. Implement word count, character count, and reading time estimation. Add readability scoring using multiple algorithms (Flesch-Kincaid, SMOG, Coleman-Liau). Include keyword density analysis with visualization. Implement sentiment analysis with emotional tone detection. Add grammar and spelling checking with suggestions. Include text comparison functionality for similarity detection. Support multiple languages with automatic detection. Add export functionality for analysis reports. Implement text formatting and cleaning tools.
使用 HTML5、CSS3 和 JavaScript 构建一个全面的文本分析工具。创建一个简洁的界面，包含文本输入区域和结果仪表板。实现字数、字符数统计以及阅读时间估算。使用多种算法（Flesch-Kincaid、SMOG、Coleman-Liau）添加可读性评分。包含带可视化效果的关键词密度分析。实现带情感基调检测的情感分析。添加带有建议的语法和拼写检查。包含用于相似度检测的文本对比功能。支持多语言并自动检测。添加分析报告的导出功能。实现文本格式化和清理工具。