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- 2015
微博新词发现及情感倾向判断分析
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Abstract:
摘要： 由于社交媒体的普及和灵活性,微博中涌现出越来越多的新词来表达情感态度,新词的发现和情感倾向已成为微博研究的热点问题。主要介绍COAE2014评测任务3的方法与技术。首先提出了一个广义后缀树的词串抽取方法,利用左右灵活度等指标发现潜在新词。然后根据上下文信息对前一步发现的潜在新词采用多重词典,基于模板,统计情感词共现手段判断其情感倾向。最后利用搜索引擎从语义角度进一步优化情感倾向结果。实验结果表明此方法对新词发现和情感倾向判断问题是有效的。
Abstract: Due to popularity and flexibility of social media, more increasingly created words were used to express people's feelings and attitudes. New word detection and sentiment orientation has become a hot issue in Micro-blog analysis. The methods and techniques used in Task 3 of COAE 2014 were introduced. Generalized suffix tree was employed in string extraction, which was determined as new words with metrics like left-right-flexibility of words etc. Then, with pattern-based and statistic-based methods combined with multiple lexicons, sentiment orientation of new words was decided. Search engine was also used to optimize result as a supplement from semantic perspective. Results have shown our methods effective in new word detection and sentiment orientation analysis
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