How to extract insights from the given data? Ok, I have this data with 3 columns, unique id, raw text, and review text. My task is play with the dataset and find meaningful insights from it. Raw text is in plain English but review text is in another language. I have no idea how to proceed with the dataset. Even after I clean the data from the raw text, what should I do with review one because it is in another language. Which text analysis should I do and how can I implement it on the dataset?
The language that are used on review text just happened to be my native language. I can confirm that the review_text at least from what you showed above is a direct translation of the raw text (although I would say the translation is not perfect). 

Maybe you can consider making unsupervised model and probably compare between these two, see how much they match (theoretically since they are the same text they should have many overlaps).