Natural Language Analytics made simple and visual with Neo4j
Blog post from Neo4j
The text discusses various techniques for processing and analyzing text data using graph databases, specifically focusing on word relationships and frequency analysis. It demonstrates how to split text into words, create relationships between consecutive words using graph nodes and edges, and count occurrences of words and their sequential relationships. The document also covers advanced features like recording word positions, handling large files, converting text to lowercase, removing punctuation, trimming whitespace, and filtering out stop words. Additionally, it includes examples of loading text from external files, utilizing periodic commits for large datasets, and querying paths with specific relationship conditions to extract phrases based on their frequency scores.
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