Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition) ›› 2019, Vol. 37 ›› Issue (3): 71-78.doi: 10.16088/j.issn.1001-6600.2019.03.008
CHEN Feng,MENG Zuqiang*
CLC Number:
| [1] BLEI D M,NG A Y,JORDAN M I.Latent Dirichlet allocation[J].Journal of Machine Learning Research,2003,3: 993-1022. [2] 谢昊,江红.一种面向微博主题挖掘的改进LDA模型[J].华东师范大学学报(自然科学版),2013(6):93-101.DOI: 10.3969/j.issn.1000-5641.2013.06.011. [3] LIU Quanchao,HUANG Heyan,FENG Chong.Micro-blog post topic drift detection based on LDA model[C]// Behavior and Social Computing: LNCS Volume 8178,2013:106-118.DOI:10.1007/978-3-319-04048-6_10. [4] GE Gaofei,CHEN Liping,DU Junping.The research on topic detection of microblog based on TC-LDA[C]//2013 15th IEEE International Conference on Communication Technology.Piscataway NJ:IEEE Press,2013:722-727.DOI:10.1109/ICCT.2013.6820469. [5] YAN Xiaohui,GUO Jiafeng,LAN Yanyan,et al.A biterm topic model for short texts[C]//Proceedings of the 22nd International Conference on World Wide Web.New York,NY:ACM Press,2013:1445-1456.DOI:10.1145/ 2488388.2488514. [6] CHENG Xueqi,YAN Xianhui,LAN Yanyan,et al.BTM:topic modeling over short texts[J].IEEE Transactions on Knowledge and Data Engineering,2014,26(12):2928-2941.DOI:10.1109/TKDE.2014.2313872. [7] 张佳明,王波,唐浩浩,等.基于Biterm主题模型的无监督微博情感倾向性分析[J].计算机工程,2015,41(7): 219-223,229.DOI:10.3969/j.issn.1000-3428.2015.07.042. [8] LI Weijiang,FENG Yanming,LI Dongjun,et al.Micro-blog topic detection method based on BTM topic model and K-means clustering algorithm[J]. Automatic Control and Computer Sciences,2016,50(4):271-277.DOI:10.3103/ S0146411616040040. [9] 王亚民,胡悦.基于BTM的微博舆情热点发现[J].情报杂志,2016,35(11):119-124,140.DOI:10.3969/j.issn.1002-1965.2016.11.022. [10]HE Xingwei,XU Hua,LI Jia,et al.FastBTM:reducing the sampling time for biterm topic model[J]. Knowledge-Based Systems,2017,132:11-20.DOI:10.1016/j.knosys.2017.06.005. [11]ZHANG Peng,LI Bicheng,YANG Ruipeng.Research on the topic evolution of microblog based on BTM-LPA[C]// Proceedings of the International Conference on Computer Science and Technology.Singapore:World Scientific,2017:860-875.DOI:10.1142/9789813146426_0098. [12]刘少鹏,印鉴,欧阳佳,等.基于MB-HDP模型的微博主题挖掘[J].计算机学报,2015,38(7):1408-1419.DOI: 10.11897/SP.J.1016.2015.01408. [13]黄发良,冯时,王大玲,等.基于多特征融合的微博主题情感挖掘[J].计算机学报,2017,40(4):872-888. DOI:10.11897/SP.J.1016.2017.00872. [14]GEMAN S,GEMAN D.Stochastic relaxation, gibbs distributions and the Bayesian restoration of images[J]. Journal of Applied Statistics,1993,20(5/6):25-62.DOI:10.1080/02664769300000058. [15]FENG Jun,FANG Yu.Research on hot topic discovery technology of micro-blog based on biterm topic model[C]//Geo-Spatial Knowledge and Intelligence: 4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem.Berlin:Springer,2016:234-244.DOI:10.1007/978-981- 10-3969-0_27. [16]谢修娟,李香菊,莫凌飞.基于改进K-means算法的微博舆情分析研究[J].计算机工程与科学,2018,40(1):155-158.DOI:10.3969/j.issn.1007-130X.2018.01.023. [17]ZHANG Huaping,YU Hongkui,XIONG Deyi,et al.HHMM-based Chinese lexical analyzer ICTCLAS[C]// Proceedings of the second SIGHAN workshop on Chinese language processin:Volume 17.Stroudsburg,PA: Association for Computational Linguistics,2003:184-187.DOI:10.3115/1119250.1119280. [18]刘泽锦,王洁.同主题词短文本分类算法中BTM的应用与改进[J].计算机系统应用,2017,26(11):213-219.DOI: 10.15888/j.cnki.csa.006071. [19]李卫疆,王真真,余正涛.基于BTM和K-means的微博话题检测[J].计算机科学,2017,44(2):257-261,274.DOI: 10.11896/j.issn.1002-137X.2017.02.042. |
| [1] | XU Gang, LIU Hai-yan, ZHANG Chao-ying, LIANG Zhen-yan. Simulations of Constructivism Application Based on Cellular Automata [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2013, 31(4): 7-12. |
| [2] | MA Xian-bing, SUN Shui-fa, QIN Yin-shi, GUO Qing, XIA Ping. Object Tracking Algorithm of On-line Boosting Based on Particle Filter [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2013, 31(3): 100-105. |
| [3] | SUN Shui-fa, LI Le-peng, DONG Fang-min, ZOU Yao-bin, CHEN Peng. Bi-histogram Equalization Based on Partially Overlapped Sub-block with Iterative Threshold [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2013, 31(3): 119-126. |
| [4] | MA Yuan-yuan, LÜ Kang, XU Jiu-cheng. Image Retrieval of Multi-level Similarity Based on Granular Computing [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2013, 31(3): 127-131. |
| [5] | HUANG Zhi-min, WANG Dong-li, WEN Ying, LÜ Yue. Offline Writer Recognition Based on Modified Grid Feature [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2013, 31(3): 132-137. |
| [6] | WANG Feng, JIN Xiao-bo, YU Jun-wei, WANG Gui-cai. V-optimal Histogram and Its Application in License Plate Classification [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2013, 31(3): 138-143. |
| [7] | YANG Jun-yao, MENG Zu-qiang. Path Planning Based on Time-dependent Logistics Networks Model [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2013, 31(3): 152-156. |
| [8] | LIU Jun, BU Zhao-hui, IKEDA Takashi, MATSUMOTO Tadahiro. Chinese Translation of Japanese Polysemous Verb for Machine Translation Based on Semantic Combination ——Take “KIRERU”“TAOSU” as an Example [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2013, 31(3): 177-183. |
|
||