Research tools directory
Visualization refers to activities which serve to summarise and present in a graphical form, and to use such graphical forms analytically, that is to detect patterns, structures, or points of interest in the underlying data. Virtually any kind of data can be visualized, and the forms of visualizations can be images, maps, timelines, graphs, or tables, and the like. Relevant techniques include plotting and mapping.
Spatial Analysis refers to the discovery of trends or patterns in data pertaining to spatial or geographical aspects of the data. Spatial analysis is often based on techniques of annotation of data, such as Georeferencing or Named Entity Recognition, and may lead to visualization or modeling in the form of maps.
Content Analysis is a method which aims to analyse aspects of digital objects relating to their meaning, such as identifying concepts or meaningful units. Relevant techniques include Topic Modeling, Sentiment Analysis, Information Retrieval, Discourse Analysis, but also Named Entity Recognition.
Social Media Analysis
Since a large part of the population uses social media in their daily lives, researchers are collecting and analyzing this data using a variety of techniques and methods including content and network analysis. The social media analysis tools below support researchers with collecting, cleaning, labeling and further analysis and visualizations of social media data.
Network Analysis is a method to study the relations of (real or fictional) actors or other entities in a mediated network, which can take the form of a social or academic online network, a set of correspondence, or a work of literature; the resulting network is usually made up of nodes (entities) and edges (relations). Relevant techniques include Named Entity Recognition.
Data Collection is a process of gathering raw information based on a set of chosen variables. Relevant techniques include surveys, interviews, experiments, ethnographic observations, reuse of digitized or archival material.