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  • 话题型微博语言特点及其情感分析策略研究 =

Tác giả CN 侯, 敏.
Nhan đề 话题型微博语言特点及其情感分析策略研究 =Study on the Linguistic Features of the Topic-oriented Microblog and the Strategies for its Sentiment Analysis /侯敏; 滕永林; 李雪燕; 陈毓麒; 郑双美; 侯明午; 周红照.
Thông tin xuất bản 2013.
Mô tả vật lý 135-143 p.
Tóm tắt Nowadays microblog has become an important way for people to express attitudes,opinions and evaluations.Based on theories about the subjectivity of language,this paper analyzed the linguistic features of topic-oriented microblog texts: short sentences,more negative views,stronger sentiments,weak rationality,more colloquial terms,indirect and obscure way of expressing opinions,ellipsis of evaluated objects,informality,etc.According to the analysis,this paper proposed some strategies for identifying opinion sentence and extracting evaluated object on the basis of phrase emotional dictionary and semantic rules.Experimental evidences and evaluation results proved the effectiveness of these strategies.
Tóm tắt 本文以语言主观性为理论依据,分析了话题型微博语言句子简短、负面倾向居多、情感表达强烈而理性评价淡化、口语色彩浓重、观点表达隐晦、评价对象省略、具有非规范性等特点,并就此提出基于短语情感词典及语义规则的观点句识别及评价对象提取的策略。实验和评测结果证明,这些策略和方法取得了较好的效果.
Đề mục chủ đề Language features
Đề mục chủ đề Evaluated object
Đề mục chủ đề Sentiment analysis
Đề mục chủ đề Topic-oriented microblog
Thuật ngữ không kiểm soát 情感分析
Thuật ngữ không kiểm soát 评价对象
Thuật ngữ không kiểm soát 话题型微博
Thuật ngữ không kiểm soát 语言特点
Tác giả(bs) CN 侯, 明午.
Tác giả(bs) CN 周, 红照.
Tác giả(bs) CN 李, 雪燕.
Tác giả(bs) CN 滕, 永林.
Tác giả(bs) CN 郑, 双美.
Tác giả(bs) CN 陈, 毓麒.
Nguồn trích Applied linguistics.- 2013, No.2.
000 00000nab a2200000 a 4500
00137062
0022
00447524
008160229s2013 ch| chi
0091 0
022|a10035397
039|y20160229110850|zngant
0410 |achi
044|ach
1000 |a侯, 敏.
24510|a话题型微博语言特点及其情感分析策略研究 =|bStudy on the Linguistic Features of the Topic-oriented Microblog and the Strategies for its Sentiment Analysis /|c侯敏; 滕永林; 李雪燕; 陈毓麒; 郑双美; 侯明午; 周红照.
260|c2013.
300|a135-143 p.
3620 |aNo. 2 (2013).
520|aNowadays microblog has become an important way for people to express attitudes,opinions and evaluations.Based on theories about the subjectivity of language,this paper analyzed the linguistic features of topic-oriented microblog texts: short sentences,more negative views,stronger sentiments,weak rationality,more colloquial terms,indirect and obscure way of expressing opinions,ellipsis of evaluated objects,informality,etc.According to the analysis,this paper proposed some strategies for identifying opinion sentence and extracting evaluated object on the basis of phrase emotional dictionary and semantic rules.Experimental evidences and evaluation results proved the effectiveness of these strategies.
520|a本文以语言主观性为理论依据,分析了话题型微博语言句子简短、负面倾向居多、情感表达强烈而理性评价淡化、口语色彩浓重、观点表达隐晦、评价对象省略、具有非规范性等特点,并就此提出基于短语情感词典及语义规则的观点句识别及评价对象提取的策略。实验和评测结果证明,这些策略和方法取得了较好的效果.
65000|aLanguage features
65000|aEvaluated object
65000|aSentiment analysis
65000|aTopic-oriented microblog
6530 |a情感分析
6530 |a评价对象
6530 |a话题型微博
6530 |a语言特点
7000 |a侯, 明午.
7000 |a周, 红照.
7000 |a李, 雪燕.
7000 |a滕, 永林.
7000 |a郑, 双美.
7000 |a陈, 毓麒.
773|tApplied linguistics.|g2013, No.2.
890|a0|b0|c0|d0

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