Multi-level topic detection algorithm for Netnews Specials

2013 ◽  
Author(s):  
Yu Peng ◽  
ZhiQing Lin ◽  
Bo Xiao ◽  
Chuang Zhang
Keyword(s):  
Detection Algorithm ◽  
Topic Detection ◽  
Multi Level

Loop Closure Detection Algorithm Based On Multi-Level Convolutional Neural Network Features

2018 ◽  
Vol 55 (11) ◽  
pp. 111507
Author(s):  
鲍振强 Bao Zhenqiang ◽  
李艾华 Li Aihua ◽  
崔智高 Cui Zhigao ◽  
苏延召 Su Yanzhao ◽  
郑勇 Zheng Yong
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Detection Algorithm ◽  
Loop Closure ◽  
Loop Closure Detection ◽  
Multi Level

Studies on a multidimensional public opinion network model and its topic detection algorithm

2019 ◽  
Vol 56 (3) ◽  
pp. 584-608 ◽  
Author(s):  
Guanghui Wang ◽  
Yuxue Chi ◽  
Yijun Liu ◽  
Yufei Wang
Keyword(s):  
Public Opinion ◽  
Network Model ◽  
Detection Algorithm ◽  
Topic Detection

The Blog Topic Detection Research Based on Bursty Word

2014 ◽  
Vol 926-930 ◽  
pp. 3406-3409
Author(s):  
Tao Kuang ◽  
Shan Hong Zhu
Keyword(s):  
Similarity Measure ◽  
Clustering Analysis ◽  
Main Idea ◽  
Design Strategy ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Topic Detection ◽  
Media Report ◽  
Word Similarity ◽  
Detecting Method

The emergence of blog hot topic means that the user's interest ,participation behavior and various media report coverage reach to its climax,a detecting method of topics on blog based on blog bursty words is proposed. It includes the use of word similarity measure and text clustering analysis which is combined with design strategy in specific period, the use of the main idea of the sudden vocabulary hot topic detection algorithm has to be used and improved in order to generate the final clustering. The experimental results show that the algorithm can obtain an accurate blog topic detection results.

Hierarchy Topic Detection and Hot Topic Identification

2014 ◽  
Vol 701-702 ◽  
pp. 180-186
Author(s):  
Xue Mei Zhou ◽  
Shan Ying Cheng
Keyword(s):  
Public Opinion ◽  
Real Time ◽  
Hierarchical Structure ◽  
Clustering Algorithm ◽  
Detection Algorithm ◽  
Topic Detection ◽  
Topic Identification ◽  
Evaluation Indexes ◽  
Detection Algorithms ◽  
The Hierarchical Structure

Due to the problem that the existing topic detection algorithms can not satisfy accuracy,real time and topic hierarchical clustering at the same time, this article builds a hierarchy topic detection algorithm based on improved single pass clustering algorithm. In addition, using public opinion evaluation indexes to analyze topic temperature,the method proposed in this paper can detect hot topics accurately and timely while showing the hierarchical structure of the topic .

Sign in / Sign up

Export Citation Format

Share Document