calc_doc_sim: Calculate document similarity using TF-IDF and cosine...

In LBDiscover: Literature-Based Discovery Tools for Biomedical Research

Calculate document similarity using TF-IDF and cosine similarity

Description

This function calculates the similarity between documents using TF-IDF weighting and cosine similarity.

Usage

calc_doc_sim(
  text_data,
  text_column = "abstract",
  min_term_freq = 2,
  max_doc_freq = 0.9
)

Arguments

text_data	A data frame containing text data.
text_column	Name of the column containing text to analyze.
min_term_freq	Minimum frequency for a term to be included.
max_doc_freq	Maximum document frequency (as a proportion) for a term to be included.

Value

A similarity matrix for the documents.

LBDiscover documentation built on June 16, 2025, 5:09 p.m.