Understanding OPEC: Economic Shifts and Media Perception

This lecture delves into the history of OPEC, exploring its impact on the global oil market and the economic strategies of exporting countries. It analyzes media coverage and public perception, highlighting the transition from consumer-driven to producer-driven markets. The lecture also discusses methodological approaches to historical research, focusing on data mining techniques applied to digitized press archives. Students are guided through defining research questions, selecting relevant sources, and structuring historical narratives. The presentation of research results and methodological challenges is emphasized, along with the importance of diverse bibliographic resources.

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Related concepts (49)

HUM-474: Press and digital history I

Alliant numérique et histoire, ce cours propose une nouvelle approche de l'histoire de la presse et de la Suisse au XXe siècle. En explorant les archives de presse numérisées à l'aide d'outils numériq

Data mining

Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.

Structure mining

Structure mining or structured data mining is the process of finding and extracting useful information from semi-structured data sets. Graph mining, sequential pattern mining and molecule mining are special cases of structured data mining. The growth of the use of semi-structured data has created new opportunities for data mining, which has traditionally been concerned with tabular data sets, reflecting the strong association between data mining and relational databases.

Text mining

Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al.

Numerical analysis

Numerical analysis is the study of algorithms that use numerical approximation (as opposed to symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics). It is the study of numerical methods that attempt at finding approximate solutions of problems rather than the exact ones. Numerical analysis finds application in all fields of engineering and the physical sciences, and in the 21st century also the life and social sciences, medicine, business and even the arts.

Numerical integration

In analysis, numerical integration comprises a broad family of algorithms for calculating the numerical value of a definite integral, and by extension, the term is also sometimes used to describe the numerical solution of differential equations. This article focuses on calculation of definite integrals. The term numerical quadrature (often abbreviated to quadrature) is more or less a synonym for numerical integration, especially as applied to one-dimensional integrals.