情绪回归:使用实值分数来总结整体文档情绪

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI:10.1109/ICSC.2008.67

Adam Drake, Eric K. Ringger, D. Ventura

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引用次数: 23

摘要

在本文中，我们考虑了一个情感回归问题:用实值分数总结评论的整体情感。一组标记评论的实证结果表明，实值情感建模是可行的，因为有几种算法在基线性能的基础上得到了改进。当分类问题的粒度从两类(正与负)向无限类(实值)移动时，我们还分析了性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment

In this paper, we consider a sentiment regression problem: summarizing the overall sentiment of a review with a real-valued score. Empirical results on a set of labeled reviews show that real-valued sentiment modeling is feasible, as several algorithms improve upon baseline performance. We also analyze performance as the granularity of the classification problem moves from two-class (positive vs. negative) towards infinite-class (real-valued).

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2008 IEEE International Conference on Semantic Computing

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