quantumSimilarity: quantumSimilarity

In alejandrommingo/QLSA: Quantum Latent Semantic Analysis

quantumSimilarity

Description

quantumSimilarity is a function that takes two words and a state vector and returns the quantum similarity between them. To see more details about the quantum similarity go to Pothos and Busemeyer (2011).

Usage

quantumSimilarity(
  word_a,
  word_b,
  gallitoCode,
  spaceName,
  neutral_state = TRUE,
  state,
  min_cosine_contour = 0.3,
  neighbors = 100
)

Arguments

word_a	The first word the function will evaluate.
word_b	The second word the function will evaluate.
gallitoCode	Gallito API password to extract information from the LSA semantic space.
spaceName	Gallito API LSA semantic space you want to use
neutral_state	By default the function will take the neutral state between the two words subspaces to evaluate the similarity
state	The initial state the function will use to calculate the similarity between the two words in case 'neutral_state = FALSE'.
min_cosine_contour	minimum cosine required for being a contour exemplar. By default 'min_cosine_contour = 0.3'.
neighbors	The number of neighbors inside the contour of the word. By default 'neighbors = 100'.

Value

The function will return a value between 0 and 1 indicating the similarity between the two words.

alejandrommingo/QLSA documentation built on March 19, 2022, 3:36 a.m.