基于情感估计难度的日语句子分类方法

Sanae Yamashita, Y. Kami, Noriyuki Okumura
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引用次数: 0

摘要

现有的情绪评估系统在任何情况下都会从给定的句子中提取一些情绪。然而,有许多句子是无法估计情感特征的。因此,系统不应该一直提取某些情绪。系统应该像我们人类那样返回“难以估计”。提出了一种基于情感估计难度的日语句子分类方法。该系统使用三种条件(负面表达、情绪表达和机器学习分类)来判断情绪估计的难度等级。结果表明,本文提出的系统在力学评价方面达到了F1的0.8分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Classification Method for Japanese Sentences based on the Difficulty Level of Emotion Estimation
The existing systems to estimate emotions extract some emotions from the given sentences in any and all circumstances. However, there are many sentences whoever cannot estimate emotional features. It follows that the systems should not extract some emotions all the time. Systems should return "It is difficult to estimate" as we humans do so. This paper proposes a method to classify Japanese sentences based on the difficulty level of emotion estimation. Proposed system judges the difficulty level to estimate emotions using three conditions (negative expressions, emotive expression, and machine-learned classifications). As a result, proposed system achieved 0.8 of F1 score based on mechanical evaluation.
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