Textual Spatial Cosine Similarity
May 15, 2015 Β· Declared Dead Β· π arXiv.org
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Authors
Giancarlo Crocetti
arXiv ID
1505.03934
Category
cs.IR: Information Retrieval
Citations
8
Venue
arXiv.org
Last Checked
4 months ago
Abstract
When dealing with document similarity many methods exist today, like cosine similarity. More complex methods are also available based on the semantic analysis of textual information, which are computationally expensive and rarely used in the real time feeding of content as in enterprise-wide search environments. To address these real-time constraints, we developed a new measure of document similarity called Textual Spatial Cosine Similarity, which is able to detect similitude at the semantic level using word placement information contained in the document. We will see in this paper that two degenerate cases exist for this model, which coincide with Cosine Similarity on one side and with a paraphrasing detection model to the other.
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