Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 478-481.
• Big Data & Data Mining • Previous Articles Next Articles
JIN Yi-fan, FU Ying-xun, MA Li
CLC Number:
[1]张志飞,苗夺谦,高灿.基于LDA主题模型的短文本分类方法[J].计算机应用,2013,33(6):1587-1590. [2]王雯,赵衎衎,李翠平,等.Spark平台下的短文本征扩展与分类研究[J].计算机科学与探索,2017,34(5):1-9. [3]王振振,何明,杜永萍.基于LDA主题模型的文本相似度计算[J].计算机科学2013,40(12):229-232. [4]石晶,李万龙.基于LDA模型的主题分析[J].自动化学报,2009,35(12):1586-1593. [5]YANG Y,ZHANG J,KISIEL B.A scalability analysis of classifiers in text categorization [C]∥Proceedings of the 26th ACM International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-03).Toronto:ACM Press,2003:96-103. [6]JOACHIMS T.Text Categorization with Support Vector Ma-chines:Learning with Many Relevant Features[J].Machine Learning,1998,1398(23):137-142. [7]CALMA A,REITMAIER T,SICK B.Semi-Supervised Active Learning for Support Vector Machines:A Novel Approach that Exploits Structure Information in Data[J].Information Sciences,2018,456:13-22. [8]徐光美,刘宏哲,张敬尊.基于特征加权的多关系朴素贝叶斯分类模型[J].计算机科学,2014,41(2):283-285. [9] 胡元,石冰.基于区域划分的KNN文本快速分类算法研究[J].计算机科学,2012,39(10):182-186. [10]季一木,张永潘,郎贤波,等.面向流数据的决策树分类算法并行化[J].计算机研究与发展,2017,54(9):1945-1957. [11]SHIRAKAWA M,NAKAYAMA K,HARA T,et al.Wikipedia-Based Semantic Similarity Measurementsfor Noisy Short Texts Using Extended Naive Bayes[J].IEEE Transactionson Emerging Topics in Computing,2015,3(2):1. [12]LIU W S,CAO Z W,WANG J,et al.Short text classification based on Wikipedia and Word2vec[C]∥2nd IEEE International Conference on Computer and Communications (ICCC).2016. [13]HE H,CHEN B,XU W,et al.Short Text Feature Extraction and Clustering for Web Topic Mining[C]∥Proceedings of the Third International Conference on Semantics,Knowledge and Grid.IEEE Computer Society,2007:382-385. [14]LIU J L,YAN Y Y.SMS Text Classification Method Based on Context[J].Computer Engineering,2011,37(10):41-43. [15]CHEN Q U,YAO L X,YANG J.Short text classification based on LDA topic model[C]∥International Conference on Audio,Language and Image Processing (ICALIP).2016. [16]WANG X L,WANG J,YANG Y.Labeled LDA-Kernel SVM:A Short Chinese Text Supervised Classification Based on SinaWeibo[C]∥4th International Conference on Information Science and Control Engineering(ICISCE).2017. [17]YUAN M.Feature Extension for Short Text Categorization Using Frequent Term Sets[J].Elsevier Procedia Computer Scien-ce,2014,31:663-670. [18]FENG G,LI S,SUN T,et al.A Probabilistic Model Derived Term Weighting Scheme for Text Classification[J].Pattern Recognition Letters,2018,110:23-29. [19]MIROΗCZUK M M,PROTASIEWICZ J.A Recent Overview of the State-of-the-Art Elements of Text Classification[J].Expert Systems with Applications,2018,106:36-54. [20]LI H,WANG Y,ZHANG D,et al.Pfp:parallel fpgrowth for query recommendation[C]∥Proceedings of the 2008 ACM Conference on Recommender Systems.ACM,2008:107-114. [21]SOGOULABS.SogouCS,version:2012[OL].http://www.sogou.com/ labs/resource/cs.php. |
[1] | HOU Xia-ye, CHEN Hai-yan, ZHANG Bing, YUAN Li-gang, JIA Yi-zhen. Active Metric Learning Based on Support Vector Machines [J]. Computer Science, 2022, 49(6A): 113-118. |
[2] | SHAO Xin-xin. TI-FastText Automatic Goods Classification Algorithm [J]. Computer Science, 2022, 49(6A): 206-210. |
[3] | SHAN Xiao-ying, REN Ying-chun. Fishing Type Identification of Marine Fishing Vessels Based on Support Vector Machine Optimized by Improved Sparrow Search Algorithm [J]. Computer Science, 2022, 49(6A): 211-216. |
[4] | CHEN Jing-nian. Acceleration of SVM for Multi-class Classification [J]. Computer Science, 2022, 49(6A): 297-300. |
[5] | XING Yun-bing, LONG Guang-yu, HU Chun-yu, HU Li-sha. Human Activity Recognition Method Based on Class Increment SVM [J]. Computer Science, 2022, 49(5): 78-83. |
[6] | LIU Shuo, WANG Geng-run, PENG Jian-hua, LI Ke. Chinese Short Text Classification Algorithm Based on Hybrid Features of Characters and Words [J]. Computer Science, 2022, 49(4): 282-287. |
[7] | ZHANG Hu, BAI Ping. Graph Convolutional Networks with Long-distance Words Dependency in Sentences for Short Text Classification [J]. Computer Science, 2022, 49(2): 279-284. |
[8] | GUO Fu-min, ZHANG Hua, HU Rong-hua, SONG Yan. Study on Method for Estimating Wrist Muscle Force Based on Surface EMG Signals [J]. Computer Science, 2021, 48(6A): 317-320. |
[9] | ZHUO Ya-qian, OU Bo. Face Anti-spoofing Algorithm for Noisy Environment [J]. Computer Science, 2021, 48(6A): 443-447. |
[10] | LEI Jian-mei, ZENG Ling-qiu, MU Jie, CHEN Li-dong, WANG Cong, CHAI Yong. Reverse Diagnostic Method Based on Vehicle EMC Standard Test and Machine Learning [J]. Computer Science, 2021, 48(6): 190-195. |
[11] | WANG You-wei, ZHU Chen, ZHU Jian-ming, LI Yang, FENG Li-zhou, LIU Jiang-chun. User Interest Dictionary and LSTM Based Method for Personalized Emotion Classification [J]. Computer Science, 2021, 48(11A): 251-257. |
[12] | CHENG Jing, LIU Na-na, MIN Ke-rui, KANG Yu, WANG Xin, ZHOU Yang-fan. Word Embedding Optimization for Low-frequency Words with Applications in Short-text Classification [J]. Computer Science, 2020, 47(8): 255-260. |
[13] | CAO Su-e, YANG Ze-min. Prediction of Wireless Network Traffic Based on Clustering Analysis and Optimized Support Vector Machine [J]. Computer Science, 2020, 47(8): 319-322. |
[14] | XU Xiang-yan and HOU Rui-huan. Medium and Long-term Population Prediction Based on GM(1,1)-SVM Combination Model [J]. Computer Science, 2020, 47(6A): 485-487. |
[15] | SONG Yan, HU Rong-hua, GUO Fu-min, YUAN Xin-liang and XIONG Rui-yang. Improved SVM+BP Algorithm for Muscle Force Prediction Based on sEMG [J]. Computer Science, 2020, 47(6A): 75-78. |
|