Instructions: In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].
Input: This paper proposed a very interesting idea of using cognitive features for sentiment analysis and sarcasm detection. More specifically, the eye-movement patterns of human annotators are recorded to derive a new set of features. The authors claim that this is the first work to include cognitive features into the NLP community.   Strength:  1. The paper is generally well written and easy to follow 2. Very interesting idea which may inspire research in other NLP tasks.  Weakness: 1. The motivation of using cognitive features for sentiment analysis is not very well justified. I can imagine these features may help reflect the reading ease, but I don't see why they are helpful in detecting sentiment polarities. 2. The improvement is marginal after considering cognitive features by comparing Sn+Sr+Gz with Sn+Sr. 3. Although the authors discussed about the feasibility of the approach in Section 7, but I'm not convinced, especially about the example given in section 7.2, I don't see why this technique is helpful in such a scenario.
Output:
en