3 papers
cs.CL2024
Correspondence Analysis and PMI-Based Word Embeddings: A Comparative Study
Qianqian Qi, Ayoub Bagheri, David J. Hessen +1
Popular word embedding methods such as GloVe and Word2Vec are related to the factorization of the pointwise mutual information (PMI) matrix. In this paper, we establish a formal co…
stat.ME2024
Correspondence analysis: handling cell-wise outliers via the reconstitution algorithm
Qianqian Qi, David J. Hessen, Aike N. Vonk +1
Correspondence analysis (CA) is a popular technique to visualize the relationship between two categorical variables. CA uses the data from a two-way contingency table and is affect…
cs.IR2023
Improving information retrieval through correspondence analysis instead of latent semantic analysis
Qianqian Qi, David J. Hessen, Peter G. M. van der Heijden
Both latent semantic analysis (LSA) and correspondence analysis (CA) are dimensionality reduction techniques that use singular value decomposition (SVD) for information retrieval.…