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I need to do a text mining on phyton. im doing a literature review - analyzing what academicians wrote on a certain topic over the years. my data set is around 1500 entries. I need text mining + topic modeling (lda). I will be guiding this guy on the steps i have 1142 data to be precise the research questions are these: How did research on gamification in tourism evolved? How is the academic research on gamification in tourism is distributed among geographical domains? What are the most commonly used keywords? Whom are the top authors researching this topic? Who are the co-authors that commonly research gamification in tourism? Which institutions publish the highest number of papers? What are the sources of the most cited publications? What are the individual fields in the references of...
What I am looking for is to identify companies that have taken (2) loans, one in both 2020 and 2021. I am further looking to sort the data by at least NAICS code (industry) (column AM) and State (column M) I want to be able to visualize and sort the data by who was most impacted, and that will be determined by the amount of jobs lost / gained 2021 vs 2020. We can discuss further visualization (I need your guidance) but this is a minimum. We know if they have taken (2) loans if they have the same company name in 2021 however if the company only shows up once, it is 2020 so they've taken (1) loan and are not of interest to us. The total data set is under a million records.