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作 者:刘若兰[1] 年梅[1] 玛尔哈巴.艾赛提 LIU Ruolan;NIAN Mei;Maierhaba Aisaiti(Department of Computer Science and Technology, Xinjiang Normal University, Urumqi, Xinjiang 830054, China;Department of Literature, Xinjiang Normal University, Urumqi, Xinjiang 830054,China)
机构地区:[1]新疆师范大学计算机科学技术学院,新疆乌鲁木齐830054 [2]新疆师范大学文学院,新疆乌鲁木齐830054
出 处:《中文信息学报》2018年第3期49-54,共6页Journal of Chinese Information Processing
基 金:国家自然科学基金(61163064);教育部人文社会科学工程科技人才培养专项(15JDGC022);新疆师范大学数据安全重点实验室资助;新疆师范大学计算机应用技术重点学科资助
摘 要:极性情感词是准确分析维吾尔文倾向性的基础资源。该文在前期构建的维吾尔语褒贬情感词典基础上进行网络情感词的自动扩展研究。首先分析维吾尔语情感表达的语言特征,总结了连词、程度副词与情感词的搭配规律,并基于此规律设计从情感语料库中获取候选情感词的算法,形成候选情感词库;最后再利用维吾尔语连词的特性,结合已创建的情感词典和维吾尔语反义词词典,以互联网作为超大规模语料库,设计基于搜索引擎的情感词极性判别算法,根据算法得分判别候选情感词的极性,再将其扩展到已构建的褒贬情感词库。实验结果表明,与扩展前的情感词库相比,使用互联网文本语料扩展后的情感词库后进行维吾尔语句子倾向性测评的准确率和召回率均有明显提高。Emotion words are the fundamental resource for accurately analysis the opinions of the Uighur language.We investigates the automatic expansion of the web emotional words on the basis of an existing Uighur sentiment lexicon.First,we summarize the collocation rules of the conjunctions,degree adverbs and sentiment words by analyzing the linguistic features of Uighur emotional expression.Based on the rules,we design an algorithm to obtain the candidate emotional words from emotional corpus,forming the candidate sentiment lexicon.Finally,we use the Internet as a super-large corpus to design the emotional discriminant algorithm based on search engine by reusing the characteristics of Uighur conjunctions and combining with the established emotional lexicon and Uighur antonyms dictionary.The polarity of candidate emotional words is decided according to the score calculated by the algorithm,and then add them to the emotional lexicon.Compared with the emotional lexicon that was not expanded,the experimental results showed that the accuracy and recall rate of Uyghur sentence's tendency are significantly improved by our extended dictionary.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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