Discussion and Establishment of Network News Information Mining and Analysis Model

doi:10.3969/j.issn.1006-2475.2012.04.017

Computer and Modernization ›› 2012, Vol. 1 ›› Issue (200): 64-04.doi: 10.3969/j.issn.1006-2475.2012.04.017

• 数据库与数据挖掘 • Previous Articles Next Articles

Discussion and Establishment of Network News Information Mining and Analysis Model

LIU Lin-hao

Hunan University of Arts and Science， Changde 415000， China

Received:2012-01-13 Revised:1900-01-01 Online:2012-04-16 Published:2012-04-16

Abstract

Abstract: The paper builds a system model which involves accessing information sources， information processing and information analysis using text mining technology. The model is expected to enforce the evolution of information which consists of automatic access to news， classification and clustering， recommendation and description of evolution of a particular piece of hot news. Hot news mining benefits three parties： users， maintainers and supervisors. Users are easier to access their favorites； maintainers are able to design websites better to cater to users； supervisors can control and steer the Web more effectively.

Key words: classification, clustering, hot news, news-mining, KNN algorithm

LIU Lin-hao. Discussion and Establishment of Network News Information Mining and Analysis Model[J]. Computer and Modernization, 2012, 1(200): 64-04.

[1]	MENG Na, FANG Wei-wei, LU Hong-ying. A DNN Compression Method for Environmental Sound Classification on Microcontroller Unit [J]. Computer and Modernization, 2024, 0(01): 80-86.
[2]	QIU Kai-xing, FENG Guang. A Multi-label Image Classification Model Based on Dual Feature Attention [J]. Computer and Modernization, 2023, 0(12): 41-47.
[3]	TANG Shi-qi, ZHOU Rui-ping, XIE Shi-bin, LIU Meng-chi, XIAO Wen, . Cross-language Multi-label Sentiment Classification Based on Stacked Denoising AutoEncoder [J]. Computer and Modernization, 2023, 0(11): 6-12.
[4]	WANG Hong-jie, XU Sheng-chao. Clustering Method of Cloud Platform Abnormal Transmission Data Based on Hilbert Similarity [J]. Computer and Modernization, 2023, 0(09): 27-31.
[5]	WU Tian, LIU Hai-hua, TONG Shun-yan. Image Classification Based on Deep Feedback CNN [J]. Computer and Modernization, 2023, 0(09): 82-86.
[6]	MA Guo-xiang, YANG Ling-fei, YAN Chuan-bo, ZHANG Zhi-hao, SUN Bing, WANG Xiao-rong. Ultrasonic Image Diagnosis of Hepatic Echinococcosis Based on Deep DenseNet Network [J]. Computer and Modernization, 2023, 0(09): 100-104.
[7]	OUYANG Fei, WU Xu, XIANG Dong-sheng. Garbage Classification and Detection Method Based on Improved YOLOX [J]. Computer and Modernization, 2023, 0(08): 68-73.
[8]	LI Lan-lan, GAO Jian-long, ZHU Xiao, MU Pei-zheng. Insertion/Deletion Genomic Variations Detection Method Based on Regional Read#br# Segments Classification#br# [J]. Computer and Modernization, 2023, 0(07): 13-19.
[9]	QIN Zhu-yuan, WU Hao-zhong, TAN Dai-qing, HAN Ai-qing, ZANG Hao, WANG Xuan, TANG Yan. Fine-grained Identification of Maidong Based on Multi-scale ResNet Combining Attention Mechanism [J]. Computer and Modernization, 2023, 0(07): 105-111.
[10]	ZHU Jian-bo, GE Ming-feng, DONG Wen-fei. Alzheimer’s Disease Image Classification Based on Improved EfficientNet [J]. Computer and Modernization, 2023, 0(06): 56-61.
[11]	HUA Xin-yu, QI Yun-song. A Hybrid Brain Tumor Classfication Study Based on CBAM and EfficientNet with Improved Channel Attention [J]. Computer and Modernization, 2023, 0(05): 1-7.
[12]	WANG Jie, PAN Feng, ZHANG Yan-sha, TAN Mian, YAN Xiao-bo, WANG Lin, . Surface Defect Classification of Aluminum Profiles with Weighted Non-local Modules [J]. Computer and Modernization, 2023, 0(05): 86-92.
[13]	WANG Yi-cheng, ZHANG Guo-liang, ZHANG Zi-jie, . Small Object Detection Method Based on Improved YOLOv5 [J]. Computer and Modernization, 2023, 0(05): 100-105.
[14]	XU Ya-xin, HE Ze-en, XU Xu-kan. Automatic Classification Method of CNC Machine Tool Fault Text Based on CNN-BiLSTM [J]. Computer and Modernization, 2023, 0(04): 7-14.
[15]	WEI Xin, HE Xiao-hai, TENG Qi-zhi, QING Lin-bo, CHEN Hong-gang. Event Extraction Method Based on BERT-BiLSTM-Attention Hybrid Model [J]. Computer and Modernization, 2023, 0(04): 26-31.

Discussion and Establishment of Network News Information Mining and Analysis Model

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments