You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].

Input: Consider Input: Se realiza un trabajo de modelamiento de encriptación cuántica novedosa  No veo aspectos negativos

Output: very positive


Input: Consider Input: El artículo presenta un sistema de control de flota que integra diversas tecnologías.  Se presenta una solución compleja que integra distintos sistemas de hardware y software.  La presentación describe el sistema a nivel de módulos principales (gestión y control de trenes, SMS, autorizaciones de vía, detectores de desrielo, y cambios radiales) pero no profundiza en ninguno.  Se presenta la solución como una alternativa de bajo costo comparable a referentes mundiales, sin embargo no se aportan datos al respecto. Así mismo, no se proporciona respaldo para las afirmaciones hechas respecto de escalablidad y otros beneficios de la solución (ver Conclusiones y las dos secciones precedentes).

Output: very negative


Input: Consider Input: The paper presents a medical test based on images of tissue sections. The approach proposed to cancer cells segmentation (membrane localisation) is based on local pixel features and SVM classification.  The paper describes quite well the practical problem it deals with (cancer cells segmentation on images) and it is generally well written.  - The paper approach described in the paper seems a first try on the problem and follows others in a quite similar (but new) problem. Moreover, the paper concludes that the proposed approach is not good enough.  - The features used for classification lacks of frequency information around each pixel (although it used the first derivative with sobel). Most texture descriptors in the literature use frequency information from gabor wavelets, fourier coefficients, DCT, etc. Why not use this kind of information? Why you have chosen this 7 features and not other ones? The paper lacks of experimental evaluation on different features sets.


Output: positive