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EMNLP-2009-Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus #300

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BrambleXu opened this issue Dec 13, 2019 · 0 comments
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Dict(M) Dictionary/Lexicon Based Model SA(T) (Aspect-Based) Sentiment Analysis Task

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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:

  • pdf
  • [code](
  • [paper-with-code](

Paper information:

  • Author:
  • Dataset:
  • keywords:

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)

image

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Model Graph:

Result:

Thoughts:

Next Reading:

@BrambleXu BrambleXu self-assigned this Dec 13, 2019
@BrambleXu BrambleXu added Dict(M) Dictionary/Lexicon Based Model SA(T) (Aspect-Based) Sentiment Analysis Task labels Dec 13, 2019
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