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The NIPS conference (Neural Information Processing Systems) is one of the most prestigious yearly events in the machine learning community. At each NIPS conference, a large number of research papers are published. Over 50,000 PDF files were automatically downloaded and processed to obtain a dataset on various machine learning techniques. These NIPS papers are stored in datasets/papers.csv. The CSV file contains information on the different NIPS papers that were published from 1987 until 2017 (30 years!). These papers discuss a wide variety of topics in machine learning, from neural networks to optimization methods and many more. The logo of NIPS (Neural Information Processing Systems)

First, we will explore the CSV file to determine what type of data we can use for the analysis and how it is structured. A research paper typically consists of a title, an abstract and the main text. Other data such as figures and tables were not extracted from the PDF files. Each paper discusses a novel technique or improvement. In this analysis, we will focus on analyzing these papers with natural language processing methods.