计算机科学 ›› 2015, Vol. 42 ›› Issue (6): 220-222.doi: 10.11896/j.issn.1002-137X.2015.06.046
吴斐,张玉红,胡学钢
WU Fei, ZHANG Yu-hong and HU Xue-gang
摘要： 词汇的情感倾向判别对文本情感分类具有重要意义。已有方法多假设存在基准词,根据目标词与基准词的关联度来判别目标词的情感倾向。实际应用中,尤其是评论语料库中基准词往往存在情感歧义问题,从而影响判别结果的准确性。基于上述分析,面向给定语料库,提出一种基准词的提取和消歧方法,并在此基础上实现跨领域的词汇情感倾向判别。首先在任一标记语料库中自动提取候选基准词；然后基于共现矩阵评估并过滤部分具有情感歧义的基准词；最后通过计算基准词与目标词的相似性,实现目标词的情感倾向判别。实验结果表明了方法的有效性和可行性。
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