Nounscan

Nounscan is a text analysis tool designed to automatically identify, classify, and quantify nouns within a text corpus. It specializes in locating noun occurrences, extracting noun phrases, and producing frequency distributions. While designed for linguists and content analysts, nounscan can be integrated into writing aids, search indexing, and lexical research workflows.

Core features include tokenization, part-of-speech tagging, and lemmatization to reduce inflectional forms to canonical lemmas. It distinguishes common nouns from proper nouns, counts pluralizations, and supports multiword noun phrases. The tool supports multiple languages with English optimized, and can be extended via user dictionaries. Outputs include noun lists with frequencies, noun-phrase trees, and collocation metrics.

Nounscan can be used as a command-line utility or integrated as a library in data pipelines. It accepts plain text or structured formats, processes large corpora, and can stream results for real-time analytics. Export options include CSV and JSON; visualizations such as frequency charts may be generated in accompanying software.

Accuracy depends on the tagging models and language, and ambiguous phrases may be misclassified as nouns. It may struggle with domain-specific jargon or languages with rich morphology without custom dictionaries. Privacy and data handling considerations apply when processing proprietary text.