中文微博情感分析研究综述_微博情感博主名字_微博情感分析工具(5)

A few hand-built patterns

To bootstrap a lexicon

接下来，通过相关的几篇论文，详细阐述下构建情感词典的方法。具体如下：

1. Hatzivassiloglou & McKeown：论文见Vasileios Hatzivassiloglou and Kathleen R. McKeown. 1997.Predicting the Semantic Orientation of Adjectives.ACL, 174–181，基于这样的一种语言现象：“Adjectives conjoined by ‘and’’ have same polarity；Adjectives conjoined by ‘but‘ do not”，如下示例：

Fairandlegitimate, corruptandbrutal

*fairandbrutal, *corruptandlegitimate

fairbutbrutal

Hatzivassiloglou & McKeown（1997）提出了基于bootstrapping的学习方法，主要包括四步：

Step 1：Label seed set of 1336 adjectives (all >20 in 21 million word WSJ corpus)

初始集包括657个 positive words（如adequate central clever famous intelligent remarkable reputed sensitive slender thriving…）和679个 negative words（如contagious drunken ignorant lanky listless primitive strident troublesome unresolved unsuspecting…）

Step 2：Expand seed set to conjoined adjectives，如下图所示：

Step 3：Supervised classifier assigns “polarity similarity” to each word pair, resulting in graph，如下图所示：

Step 4：Clustering for partitioning the graph into two

最终，输出新的情感词典，如下（加粗词条为自动挖掘出的词条）：

Positive: bold decisivedisturbinggenerous good honest important large mature patient peaceful positive proud sound stimulating straightforwardstrangetalented vigorous witty…

Negative: ambiguouscautiouscynical evasive harmful hypocritical inefficient insecure irrational irresponsible minoroutspokenpleasantreckless risky selfish tedious unsupported vulnerable wasteful…

2. Turney Algorithm：论文见Turney (2002):Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews，具体步骤如下：

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