Corpus ID: 14638345

Using TF-IDF to Determine Word Relevance in Document Queries

  title={Using TF-IDF to Determine Word Relevance in Document Queries},
  author={Juan Enrique Ramos},
In this paper, we examine the results of applying Term Frequency Inverse Document Frequency (TF-IDF) to determine what words in a corpus of documents might be more favorable to use in a query. As the term implies, TF-IDF calculates values for each word in a document through an inverse proportion of the frequency of the word in a particular document to the percentage of documents the word appears in. Words with high TF-IDF numbers imply a strong relationship with the document they appear in… Expand
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POS weighted TF-IDF algorithm and its application for an MOOC search engine
  • Ruilin Xu
  • Computer Science
  • 2014 International Conference on Audio, Language and Image Processing
  • 2014
An algorithm improved upon the original TF- IDF algorithm - POS Weighted TF-IDF algorithm is proposed, which takes every query term's part of speech (POS) into account and assigns each query term frequency a different weight value according to the POS of that term. Expand
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