第二階段是針對帶有主觀Sentiment的文章,辨認其Sentimen

第二階段是針對帶有主觀Sentiment的文章,辨認其Sentiment內容,常見的方法可分為兩種: 第一種是Lexicon-Based Method,第二種是Machine Learning Approaches。然而因為Lexicon-Based Method相較於Machine Learning Approaches直觀易懂，因此本研究實驗採用了Lexicon-Based Method。

結果 (英文) 1:

The second stage is the subjective Sentiment for the article, and identify its contents Sentiment, common methods can be divided into two categories: The first is the Lexicon-Based Method, the second is Machine Learning Approaches.
However, as compared to the Lexicon-Based Method Machine Learning Approaches intuitive, experiment of this study Lexicon-Based Method.

結果 (英文) 2:

The second stage is for articles with subjective Sentiment, identifying their Sentiment content, and the common methods can be divided into two ways: the first is Lexicon-Based Method, and the second is Machine Approache Sing.
However, because Lexicon-Based Method is less intuitive than Machine Learning Approaches, lexicon-Based Method was used in this study.

結果 (英文) 3:

The second stage is to identify the sentient content of articles with subjective sentient. There are two common methods: the first is lexicon based method, and the second is machine learning approvals.
However, because lexicon based method is easier to understand than machine learning approachs, this study adopts lexicon based method.