[HTML][HTML] Text classification algorithms: A survey
In recent years, there has been an exponential growth in the number of complex documents
and texts that require a deeper understanding of machine learning methods to be able to …
and texts that require a deeper understanding of machine learning methods to be able to …
Nonnegative matrix factorization: an analytical and interpretive tool in computational biology
K Devarajan - PLoS computational biology, 2008 - journals.plos.org
In the last decade, advances in high-throughput technologies such as DNA microarrays
have made it possible to simultaneously measure the expression levels of tens of thousands …
have made it possible to simultaneously measure the expression levels of tens of thousands …
Beyond news contents: The role of social context for fake news detection
Social media is becoming popular for news consumption due to its fast dissemination, easy
access, and low cost. However, it also enables the wide propagation of fake news, ie, news …
access, and low cost. However, it also enables the wide propagation of fake news, ie, news …
A block coordinate descent method for regularized multiconvex optimization with applications to nonnegative tensor factorization and completion
This paper considers regularized block multiconvex optimization, where the feasible set and
objective function are generally nonconvex but convex in each block of variables. It also …
objective function are generally nonconvex but convex in each block of variables. It also …
[PDF][PDF] Exploring topic coherence over many models and many topics
K Stevens, P Kegelmeyer… - Proceedings of the …, 2012 - aclanthology.org
We apply two new automated semantic evaluations to three distinct latent topic models. Both
metrics have been shown to align with human evaluations and provide a balance between …
metrics have been shown to align with human evaluations and provide a balance between …
[PDF][PDF] Exploiting tri-relationship for fake news detection
Social media for news consumption is becoming popular nowadays. The low cost, easy
access and rapid information dissemination of social media bring benefits for people to seek …
access and rapid information dissemination of social media bring benefits for people to seek …
Algorithms and applications for approximate nonnegative matrix factorization
The development and use of low-rank approximate nonnegative matrix factorization (NMF)
algorithms for feature extraction and identification in the fields of text mining and spectral …
algorithms for feature extraction and identification in the fields of text mining and spectral …
Convex and semi-nonnegative matrix factorizations
We present several new variations on the theme of nonnegative matrix factorization (NMF).
Considering factorizations of the form X= FG T, we focus on algorithms in which G is …
Considering factorizations of the form X= FG T, we focus on algorithms in which G is …
On the equivalence of nonnegative matrix factorization and spectral clustering
Current nonnegative matrix factorization (NMF) deals with X= FGT type. We provide a
systematic analysis and extensions of NMF to the symmetric W= HHT, and the weighted W …
systematic analysis and extensions of NMF to the symmetric W= HHT, and the weighted W …
Algorithms for nonnegative matrix and tensor factorizations: A unified view based on block coordinate descent framework
We review algorithms developed for nonnegative matrix factorization (NMF) and
nonnegative tensor factorization (NTF) from a unified view based on the block coordinate …
nonnegative tensor factorization (NTF) from a unified view based on the block coordinate …