[13] |
ZHOU Q , ZHAO M S , HU M . Study on feature selection in Chinese text categorization[J]. Journal of Chinese Information Processing, 2004,18(3): 18-24.
|
[14] |
代六玲, 黄河燕, 陈肇雄 . 中文文本分类中特征抽取方法的比较研究[J]. 中文信息学报, 2004,18(1): 26-32.
|
|
DAI L L , HUANG H Y , CHEN Z X . A comparative study on feature selection in Chinese textcategorization[J]. Journal of Chinese Information Processing, 2004,18(1): 26-32.
|
[15] |
单丽莉, 刘秉权, 孙承杰 . 文本分类中特征选择方法的比较与改进[J]. 哈尔滨工业大学学报, 2011(S1): 319-324.
|
|
SHAN L L , LIU B Q , SUN C J . Comparison and improvement of feature selection method for text categorization[J]. Journal of Harbin Institute of Technology, 2011(S1): 319-324.
|
[16] |
潘冠桦, 张兴忠 . Sunday算法效率分析[J]. 计算机应用, 2012,32(11): 3082-3088.
|
|
PAN G H , ZHANG X Z . Study on efficiency of Sunday algorithm[J]. Journal of Computer Applications, 2012,32(11): 3082-3088.
|
[17] |
黄承慧, 印鉴, 侯昉 . 一种结合词项语义信息和TF-IDF方法的文本相似度量方法[J]. 计算机学报, 2011(5): 856-864.
|
|
HUANG C H , YIN J , HOU F . A text similarity measurement combining word semantic information with TF-IDF method[J]. Chinese Journal of Computers, 2011(5): 856-864.
|
[18] |
范珈瑜 . 基于文本挖掘的游客对古镇旅游态度的分析[J]. 大数据, 2017,3(6): 93-101.
|
|
FAN J Y . Analysis of tourists’ attitude for ancient towns based on text mining[J]. Big Data Research, 2017,3(6): 93-101.
|
[19] |
ZHANG X , ZHAO J , LECUN Y . Characterlevel convolutional networks for text classification[C]// The 28th International Conference on Neural Information Processing Systems. Cambridge:MIT Press, 2015: 649-657.
|
[20] |
DEVLIN J , CHANG M W , LEE K ,et al. Bert:pre-training of deep bidirectional transformers for language understanding[J]. Computer Science, 2018,arXiv:1810.04805.
|
[21] |
程学旗, 兰艳艳 . 网络大数据的文本内容分析[J]. 大数据, 2015,1(3): 62-71.
|
|
CHENG X Q , LAN Y Y . Text content analysis for web big data[J]. Big Data Research, 2015,1(3): 62-71.
|
[22] |
宋云生 . 一种情感判别分析体系在汽车品牌舆情管理中的应用[J]. 大数据, 2017,3(6): 55-64.
|
|
SONG Y S . Application of an emotiondiscriminant analysis system in the management of automobile brand[J]. Big Data Research, 2017,3(6): 55-64.
|
[23] |
吴毅坚, 陈士壮, 葛佳丽 ,等. 数据自治开放的软件开发和运行环境[J]. 大数据, 2018,4(2): 31-41.
|
|
WU Y J , CHEN S Z , GE J L ,et al. Software development and runtime environment for self-governing openness of data[J]. Big Data Research, 2018,4(2): 31-41.
|
[24] |
袁书寒, 向阳, 鄂世嘉 . 基于特征学习的文本大数据内容理解及其发展趋势[J]. 大数据, 2015,1(3): 72-81.
|
[1] |
李钝, 曹付元, 曹元大 ,等. 基于短语模式的文本情感分类研究[J]. 计算机科学, 2008,35(4): 132-134.
|
|
LI D , CAO F Y , CAO Y D ,et al. Text sentiment classification based on phrase patterns[J]. Computer Science, 2008,35(4): 132-134.
|
[2] |
胡熠, 陆汝占, 李学宁 ,等. 基于语言建模的文本情感分类研究[J]. 计算机研究与发展, 2007,44(9): 1469-1475.
|
|
HU Y , LU R Z , LI X N ,et al. Research on language modeling based sentiment classification of text[J]. Journal of Computer Research and Development, 2007,44(9): 1469-1475.
|
[3] |
沈加 . 基于SVM模型的新闻分类系统设计与实现[D]. 成都:电子科技大学, 2013.
|
|
SHEN J . The design and realization of webnews classification system based on SVM[D]. Chengdu:University of Electronic Science and Technology of China, 2013.
|
[4] |
潘澄 . 基于领域向量模型的新闻网页分类算法[J]. 软件导刊, 2015(7): 57-60.
|
|
PAN C . News web classification algorithm based on domain vector model[J]. Software Guide, 2015(7): 57-60.
|
[5] |
SEBASTIANI F . Machine learning in automated text categorization[J]. ACM Computing Surveys, 2002,34(1): 1-47.
|
[6] |
郝春风, 王忠民 . 一种用于大规模文本分类的特征表示方法[J]. 计算机工程与应用, 2006,43(15): 170-172.
|
|
HAO C F , WANG Z M . Method of expressing features used for large-scale text classification[J]. Computer Engineering and Applications, 2006,43(15): 170-172.
|
[7] |
吴春龙, 周昌乐 . 基于频繁关键字共现的诗词风格分类模型研究[J]. 厦门大学学报(自然科学版), 2008,47(1): 41-44.
|
|
WU C L , ZHOU C L . Frequent keyword concurrence-based vector space modelfor Chinese poetry style analysis[J]. Journal of Xiamen University (Natural Science), 2008,47(1): 41-44.
|
[8] |
孙晋文, 肖建国 . 基于SVM的中文文本分类反馈学习技术的研究[J]. 控制与决策, 2004,19(8): 927-930.
|
|
SUN J W , XIAO J G . Study on feedback learning of SVM-based Chinese text classification[J]. Control and Decision, 2004,19(8): 927-930.
|
[9] |
JOACHIMS T , . Text categorization with support vector machines:learning with many relevant features[C]// European Conference on Machine Learning. Heidelberg:Springer, 1999: 137-142.
|
[10] |
KIM H , HOWLAND P , PARK H ,et al. Dimension reduction in text classification with support vector machines[J]. Journal of Machine Learning Research, 2005,6(1): 37-53.
|
[11] |
易勇, 何中市, 李良炎 ,等. 基于遗传算法改进诗词风格判别的研究[J]. 计算机科学, 2005,32(7): 156-158.
|
|
YI Y , HE Z S , LI L Y ,et al. A traditional Chinese poetry style identification calculation improvement model[J]. Computer Science, 2005,32(7): 156-158.
|
[12] |
黄永锋, 李奇 . 基于特征项聚合的古典诗歌分类模型[J]. 东华大学学报(自然科学版), 2014,40(5): 599-604.
|
|
HUANG Y F , LI Q . Classical poetry classification model based on feature terms clustered[J]. Journal of Donghua University (Natural Science Edition), 2014,40(5): 599-604.
|
[13] |
周茜, 赵明生, 扈旻 . 中文文本分类中的特征选择研究[J]. 中文信息学报, 2004,18(3): 18-24.
|
[24] |
YUAN S H , XIANG Y , E S J . Text big data content understanding and development trend based on feature learning[J]. Big Data Research, 2015,1(3): 72-81.
|