南京大学学报(自然科学版) ›› 2016, Vol. 52 ›› Issue (1): 175183.
孟佳娜*, 赵丹丹, 于玉海, 孙世昶
Meng Jiana*, Zhao Dandan, Yu Yuhai, Sun Shichang
摘要: 在跨领域情感倾向性分析中,提出一种基于归纳式迁移学习的图模型,通过图模型建立源领域和目标领域数据之间的关联,使得源领域的数据通过图模型学习目标领域数据在特征和实例上的特点。同时,利用归纳式迁移学习方法使用少量的目标领域的已标注数据进行训练,从而提高了情感分类器在目标领域的分类准确率。在标准数据集上进行了实验,实验结果表明该方法是有效的。
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