徐琳宏,林鸿飞,杨志豪.基于语义理解的文本倾向性识别机制[J].中文信息学报,2007,21(1):96-100.XU L H,LIN H F,YANG Z H.Text orientation identification based on semantic comprehension[J].Journal of Chinese Information Processing,2007,21(1):96-100(Ch).
[2]
张贺,刘茂福,胡慧君,等.基于信息单元融合的新闻原子事件抽取[J].武汉大学学报(理学版),2015,61(2):139-144.DOI:10.14188/j.1671-8836.2015.02.006.ZHANG H,LIU M F,HU H J,et al.Atomic event based on information unit fusion[J].Journal of Wuhan University(Natural Science Edition),2015,61(2):139-144.DOI:10.14188/j.1671-8836.2015.02.006(Ch).
[3]
朱少华,李培峰,朱巧明.基于MLN的中文事件触发词推理方法[J].北京大学学报(自然科学版),2016,52(1):89-96.DOI:10.13209/j.0479-8023.2016.012.ZHU S H,LI P F,ZHU Q M.A Chinese event trigger inference approach based on markov logic networks[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2016,52(1):89-96.DOI:10.13209/j.0479-8023.2016.012(Ch).
[4]
WHITELAW C,GARG N,ARGAMON S.Using Appraisal Groups for Sentiment Analysis[DB/OL].[2016-06-10].http://xueshu.baidu.com/s?wd=paperuri%3A%281c29464dbb5a542dfae6eeea3524e85e%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3 D10.1.1.73.524%26rep%3 Drep1%26type%3 Dpdf&ie=utf-8&sc_us=8944733647538512236.
[5]
陈豪,刘功申.基于句法分析的商品情感倾向性分析[J].信息安全与通信保密,2013(2):68-70.DOI:10.3969/j.issn.1009-8054.2013.02.029.CHEN H,LIU G S.Sentiment classification of commodity based on the syntactic analysis[J].Information Security and Communications Privacy,2013(2):68-70.DOI:10.3969/j.issn.1009-8054.2013.02.029(Ch).
[6]
唐慧丰,谭松波,程学旗.监督学习方法在语气挖掘中的应用研究[J].中文信息学报,2007,21(6):88-94.TANG H F,TAN S B,CHENG X Q.Supervised learning in data mining of tone[J].Journal of Chinese Information Processing,2007,21(6):88-94(Ch).
[7]
彭敏,汪清,黄济民,等.基于情感分析技术的股票研究报告分类[J].武汉大学学报(理学版),2015,61(2):124-130.DOI:10.14188/j.1671-8836.2015.02.004.PENG M,WANG Q,HUANG J M,et al.Stock research reports classification based on sentiment analysis[J].Journal of Wuhan University(Natural Science Edition),2015,61(2):124-130.DOI:10.14188/j.1671-8836.2015.02.004(Ch).
[8]
黄萱菁,张奇,吴苑斌.文本情感倾向分析[J].中文信息学报,2011,25(6):118-126.DOI:10.3969/j.issn.1003-0077.2011.06.015.HUANG X J,ZHANG Q,WU Y B.A survey on sentiment analysis[J].Journal of Chinese Information Processing,2011,25(6):118-126.DOI:10.3969/j.issn.1003-0077.2011.06.015(Ch).
[9]
叶馨.食品安全领域的倾向性分析算法研究[D].武汉:武汉大学,2015.YE X.Research of Sentiment Orientation Analysis of Food Safety Field[D].Wuhan:Wuhan University,2015(Ch).
[10]
TURNEY P D.Mining the web for synonyms:PMI-IR versus LSA on TOEFL[J].Computer Science,2010,2167:491-502.
[11]
KAUR I,HORNOF J A.A Comparison of LSA,WordNet and PMI-IR for Predicting User Click Behavior[C/OL].[2016-03-04].http://ix.cs.uoregon.edu/~hornof/downloads/CHI05_Semantics.pdf.
[12]
JIN H,ZHU Y T,JIN Z Q,et al.Sentiment visualization on tweet stream[J].Journal of Software,2014,9(9):2348-2352.
[13]
PIERRE J M.On the Automated Classification of Web Sites[DB/OL].[2016-06-05].http://users.softlab.ntua.gr/facilities/public/AD/Text%20Categ-orization/On%20the%20Automated%20Classification%20of%20 Web%20Sites.pdf.
[14]
郑俊飞.文本分类特征选择与分类算法的改进[D].西安:西安电子科技大学,2012.ZHENG J F.Improvement on Feature Selection and Classification Algorithm for Text Classification[D].Xi’an:Xidian University,2012(Ch).
[15]
刘海峰,陈琦,张以皓.一种基于互信息的改进文本特征选择[J].计算机工程与应用,2012,48(25):1-4.DOI:10.3778/j.issn.1002-8331.2012.25.001.LIU H F,CHEN Q,ZHANG Y H,Improved mutual information method of feature selection in text categorization[J].Computer Engineering and Applications,2012,48(25):1-4.DOI:10.3778/j.issn.1002-8331.2012.25.001(Ch).
[16]
姚天昉,程希文,徐飞玉.文本意见挖掘综述[J].中文信息学报,2008,22(3):71-80.DOI:10.3969/j.issn.1003-0077.2008.03.010.YAO T F,CHENG X W,XU F Y,et al.A survey of opinion mining for texts[J].Journal of Chinese Information Processing,2008,22(3):71-80.DOI:10.3969/j.issn.1003-0077.2008.03.010(Ch).
[17]
FORMAN G.A Pitfall and Solution in Multi-Class Feature Selection for Text Classification[DB/OL].[2016-02-03].http://machinelearning.org/proceedings/icml2004/papers/107.pdf.DOI:10.1145/1015330.1015356.
PAK A,PAROUBEK P.Twitter as a corpus for sentiment analysis and opinion mining[DB/OL][2016-06-10].http://www.hughchristensen.co.uk/papers/socialNetworking/Twitter%20as%20a%20Corpus%20for%20Sentiment%20Analysis%20and%20Opinion%20 Mining.pdf.
[20]
LI S,ZHOU L N,LI Y J.Improving aspect extraction by augmenting a frequency-based method with web-based similarity measures[J].Information Processing&Management,2015,51(1):58-67.
