Short video hot spot classification is a fundamental method to grasp the focus of consumers
and improve the effectiveness of video marketing. The limitations of traditional short text …

With the rise and rapid development of short video sharing websites, the number of short
videos on the Internet has been growing explosively. The organization and classification of …

Short text classification has a pivotal role in many applications such as sentiment analysis
and recommender systems. However, the traditional classification models work poorly on …

With the rapid development of mobile Internet, short video has become another darling after
traditional webcast in recent years. How to make full use of short video for effective …

Aiming at the low effectiveness of short texts feature extraction, this paper proposes a short
texts classification model based on the improved Wasserstein-Latent Dirichlet Allocation (W …

Aimed at the problem that the characteristics of news headlines are sparse and the semantic
relationship between words and words is weak, which led to the difficulty of obtaining good …

Text classification task can help people to discover valuable information hidden in the text
set. Many previous studies have achieved excellent results in traditional text classification …

With the explosive development of mobile Internet, short text has been applied extensively.
The difference between classifying short text and long documents is that short text is of …

Sports video classification (SVC) is now considered a challenging topic, therefore,
developing an automatic sports scene classification technique has received tremendous …

In this study, we used unidirectional and bidirectional long short-term memory (LSTM) deep
learning networks for Chinese news classification and characterized the effects of contextual …