# 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?

As mentioned in the answers, you can try an unsupervised approach to compare the two texts. To provide some more detail on that, you can use some existing word embeddings to generate word embeddings for the two texts. From a quick google search of the words in review_text it looks like it is Indonesian language. But nonetheless you can use FastText to generate word embeddings for it, it supports more than 150 languages.