Open BrambleXu opened 4 years ago
Summary:
基于lexicon的方法计算太耗时了,所以提出一个简单的方案能生成 high-coverage semantic orientation lexicon
Resource:
Paper information:
Notes:
4 Evaluation
We evaluated the semantic orientation lexicons both intrinsically (by comparing their entries to the General Inquirer) and extrinsically (by using them in a phrase polarity annotation task).
这里提到的是从内部和外部两种方式来检测lexicon。intrinsically的方式其实就是直接计算覆盖率的方法,而extrinsically的方式其实就是用NER的方式来进行计算。(只不过用于我的研究的话,recall的部分有重复。前者用一个百分比来对比,后者用一个task来对比)
Model Graph:
Result::
Thoughts:
Next Reading:
Summary:
基于lexicon的方法计算太耗时了,所以提出一个简单的方案能生成 high-coverage semantic orientation lexicon
Resource:
Paper information:
Notes:
4 Evaluation
We evaluated the semantic orientation lexicons both intrinsically (by comparing their entries to the General Inquirer) and extrinsically (by using them in a phrase polarity annotation task).
这里提到的是从内部和外部两种方式来检测lexicon。intrinsically的方式其实就是直接计算覆盖率的方法,而extrinsically的方式其实就是用NER的方式来进行计算。(只不过用于我的研究的话,recall的部分有重复。前者用一个百分比来对比,后者用一个task来对比)
Model Graph:
Result::
Thoughts:
Next Reading: