18 citations · 22 across the 3 of their papers we have counts for
4 papers
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…
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…
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.…
A comparison of latent semantic analysis and correspondence analysis of document-term matrices
Qianqian Qi, David J. Hessen, Tejaswini Deoskar +1
Latent semantic analysis (LSA) and correspondence analysis (CA) are two techniques that use a singular value decomposition (SVD) for dimensionality reduction. LSA has been extensiv…