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tips_gender is an AI-powered tool designed for document analysis tasks. It specializes in identifying and extracting elements within documents that match specific CSS selectors. This makes it particularly useful for web scraping, data extraction, and automated document processing workflows.
• CSS Selector Matching: Identify elements in documents using CSS selectors. • Document Parsing: Efficiently parse various document formats. • Element Extraction: Extract specific elements based on CSS rules. • Customizable: Define custom selectors to target desired elements. • Integration-Friendly: Works with various data processing pipelines.
What is a CSS selector?
A CSS selector is a pattern used to select elements from an HTML/XHTML document. It allows you to target specific elements based on attributes, classes, IDs, or other criteria.
What types of documents does tips_gender support?
tips_gender primarily supports HTML and XML documents. However, it can also work with PDFs and other structured document formats.
Can tips_gender handle nested elements?
Yes, tips_gender can identify nested elements by using hierarchical CSS selectors. For example, div.container > p.title would find <p> elements with class "title" inside <div> elements with class "container".