Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
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Updated
Aug 16, 2024 - R
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
Topic Modelling in Semantic Embedding Spaces
Word Factor Vectors
DEPRECATED - The Concept Mover's Distance Method is now available in the text2map package. Concept Mover's Distance is a way to measure a document's conceptual engagement using word embeddings.
🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.
'dictvectoR' measures the similarity between a concept dictionary and documents, using fastText word vectors. Implements the "Distributed-Dictionary-Representation" (Garten et al. 2018) method in R.
word association analysis via distributional semantics
This repository contains data and code to replicate experiments of author profiling using new type of features
Public data for the Embedding Projector
Semantic word relations analysis and visualization for corpus linguistics and NLP
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