memect / hao

好东西传送门
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@扛着甘蔗 @好东西传送门 有没有专门对新闻标题分析的nlp方法? #264

Closed haoawesome closed 9 years ago

haoawesome commented 9 years ago

http://www.weibo.com/5220650532/Brw09AHEV

haoawesome commented 9 years ago

概念

相关讨论

http://www.zhihu.com/question/24295592 学习自然语言处理,中文数据分析处理这块内容,应该怎么学习,怎样一个流程?

论文

http://people.socsci.tau.ac.il/mu/danield/files/2010/07/headlines-relevance.pdf On newspaper headlines as relevance optimizers Daniel Dor 2003

http://www.aclweb.org/anthology/S07-1#page=98 SemEval-2007 Task 14: Affective Text The “Affective Text” task focuses on the classification of emotions and valence (positive/negative polarity) in news headlines, and is meant as an exploration of the connection between emotions and lexical semantics. In this paper, we describe the data set used in the evaluation and the results obtained by the participating systems. 2007

http://arxiv.org/abs/1309.6202 Sentiment Analysis in the News

haoawesome commented 9 years ago

私信回复

通常文章标题也是一句话,可以直接用自然语言处理工具,例如 NLTK, Stanford NLP 解析其结构。 与文章标题相关的文章见 https://github.com/memect/hao/issues/264

jellchou commented 9 years ago

最近看到梁斌penny在微博上透露的相关工作,从新闻标题中提取核心词(实体词,新闻报道对象),龙套词(携带更多主题信息),但他还没透露具体做法,持续关注ing