- 2073 Bhadra · 4 marks
Text mining vs web usage mining
Compare Text mining Vs Web usage mining.
Text mining extracts useful patterns and knowledge from unstructured text documents (emails, articles, reviews). Web usage mining discovers patterns in the way users use websites, from server logs and clickstream data.
| Basis | Text mining | Web usage mining |
|---|---|---|
| Data used | Text content of documents | Web server logs, clickstreams, cookies, sessions |
| Nature of data | Unstructured natural language | Semi-structured access records |
| Goal | Understand meaning and content of text | Understand user behaviour and navigation |
| Techniques | NLP, tokenisation, classification, clustering, summarisation, sentiment analysis | Preprocessing, session identification, association rules, sequential patterns, clustering |
| Part of web mining? | Related to web content mining but also works on offline text | Is one of three web mining types |
| Typical output | Topics, categories, summaries, keywords | Frequent paths, user profiles, popular pages |
| Applications | Spam filtering, document classification, opinion mining | Personalisation, recommendation, site redesign, fraud detection |
| Example | Finding customer opinion in product reviews | Finding that visitors of page A usually go next to page C |
✓ Answer checked by Claude Opus 5.5 (high effort)
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