Text Analysis

Extract insights from web content with frequency analysis, sentiment analysis, and key phrase extraction.

Keyword Crawling

Search websites for specific keywords and phrases, analyzing their frequency and context.

Link Structure Analysis

Visualize and analyze the network of connections between webpages to understand site architecture.

Word Affinity Analysis

Discover the relationships and co-occurrence patterns between words and concepts.

Knowledge Extraction

Extract structured knowledge and facts from unstructured web content.

Reference Extraction

Extract citations, books, films, and other media references from web content.

Conceptual Mapping

Generate visual maps of concepts and their relationships from web content.

Logic & Epistemology

Analyze logical structures and knowledge frameworks within content.

General Web Crawling

Standard web crawling with customizable depth and breadth parameters.

Text Analysis

Text Analysis is the process of extracting meaningful patterns, relationships, and insights from textual data using computational methods. This tool enables deep linguistic and statistical examination of web content, allowing for discovery of themes, sentiments, structure, and meaning embedded within text.

Enter at least one URL for text analysis.

Ignore words shorter than this length
Additional words to exclude from analysis
Word reduction technique to use
Range of n-gram sizes to consider

This section allows you to apply custom mathematical and analytical algorithms to your text data.

Define custom parameters for your algorithm in JSON format
Define your own algorithm in Python (this will be executed in a safe environment)

Keyword Crawling

Ignore words shorter than this length
Additional words to exclude from analysis
Word reduction technique to use

Reference Extraction

Reference Extraction identifies and extracts citations, references, books, films, music, and other media mentions from web content. This tool helps map the intellectual and cultural influences within text, creating a comprehensive bibliography of external sources referenced.

Enter URLs where you want to extract references from.
Select the types of references you want to extract.

General Web Crawling

Enter at least one URL to crawl. Each URL should be on a new line.
How many links deep to crawl from the starting URL. Higher values (5+) may take longer to process.
Limit the total number of pages to crawl. Higher values (100+) may increase memory usage and processing time.
Only applies for K-Means clustering.

Ignore words shorter than this length
Additional words to exclude from analysis
Word reduction technique to use

Processing request...

This may take a few minutes depending on the number of pages.