Lucas Sterckx

A Self-Training Approach for Short Text Clustering

2019

Short text clustering is a challenging problem when adopting traditional bag-of-words or TF-IDF representations, since these lead to sparse vector representations for short texts. Lowdimensional continuous representations or embeddings can counter that sparseness problem: their …