English
Summary
Cosine similarity is a metric used to determine how similar the documents are irrespective of their size
Overview
A commonly used approach to match similar documents is based on counting the maximum number of common words between the documents.
Still, this approach has an inherent flaw: as the size of the document increases, the number of common words tends to grow even if the documents cover different topics.
The cosine similarity helps overcome this fundamental flaw in the ‘count-the-common-words’ or Euclidean distance approach.
Input:
- TestingDocumentText - string containing the text content to be tested
- TrainingDocumentText - string containing the text content to be trained
Output:
- CosineSimilarityValue - decimal value ranging between [0-1]
Benefits
Published: 14 Jan 2020 | Updated: 18 Dec 2020
License
MIT
Code Language
Visual Basic
Runtime
.NET Framework
Tags
data
file
processing
recognition
cosine similiarity
calculate cosine similiarity
cosine
Compatibility
Developed in 2019.4.4
Dependencies
Centivus.EnglishStemmer.dll
Support
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