Apr 30, 2019 · First, the LDA (latent Dirichlet allocation) model is used to extract topics from news texts and the Gibbs Sampling method is used to speculate ...

A method for the evolution of news topics over time is proposed in this paper to realize the tracking and evolution of topics in the news text set and can ...

May 15, 2019 · Research on Topic Detection and Tracking for Online News Texts ... Topic tracking is to organize news texts reporting the same topic in ...

Firstly, the LDA (Latent Dirichlet Allocation) model is used to extract topics from news texts and the Gibbs Sampling method is used to speculate parameters.

We have presented an idea in this paper for detecting and tracking topics from news articles. Topic detection and tracking are used in text mining process.

Topic Detection and Tracking (TDT) is a DARPA-sponsored initia- tive to investigate the state of the art in finding and following new events in a stream of ...

Jun 18, 2021 · In this review article, we cover more than 50 research articles in the scope of topic detection from Twitter. We also address deep learning-based methods.

We design a neural method that fuses temporal and textual information into a single representation of news documents for event detection.

Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative to investigate the state of the art in finding and following new events in a stream of ...

In this paper, we proposed a topic detection and tracking system with a new word measurement scheme named TF-Density. TF-Density is a new algorithm modified ...