  In the current field of computer vision, automatically generating texts from
given images has been a fully worked technique. Up till now, most works of this
area focus on image content describing, namely image-captioning. However, rare
researches focus on generating product review texts, which is ubiquitous in the
online shopping malls and is crucial for online shopping selection and
evaluation. Different from content describing, review texts include more
subjective information of customers, which may bring difference to the results.
Therefore, we aimed at a new field concerning generating review text from
customers based on images together with the ratings of online shopping
products, which appear as non-image attributes. We made several adjustments to
the existing image-captioning model to fit our task, in which we should also
take non-image features into consideration. We also did experiments based on
our model and get effective primary results.
