... SenU-PTM is a novel phrase-based short-text topic model under a two-phase framework. The first phase introduces a phrase-generation algorithm by exploiting word embeddings, which aims to generate phrases with the original corpus. The second phase introduces a new concept of sense unit, which consists...

... set properties Word embeddings Neural networks are providing ground-breaking results in many complex tasks such as object detection, speech recognition or sentiment analysis. This success is usually attributed to the ability of deep neural networks to generalize well when trained with high...