Topic Management and Email Alerts
Registered users can add and modify topics through the topic editor, which also provides the option to set customized email alerts. The ‘settings’ symbol to activate the editor is available on mouse-over in the topic management section. Topic Editor. Each topic is represented as a list of regular expressions (= term list with optional wildcards [...]
Continue Reading →Sentiment Detection
Measures of bias in news and social media coverage are essential when investigating trends and differing perceptions of various interest groups. A significant portion of news and social media coverage contains opinions with clear economic relevance – customer and travel reviews, for example, or the articles of well-known and respected bloggers who influence purchase decisions. [...]
Continue Reading →Trend Chart
Showing the rise and decay of topics over the last two months (= default setting, which can be changed using the date selector), the trend chart provides the following time series: Frequency (Total, Positive and Negative). The displayed frequency values represent the number of occurrences in the last seven days. Selecting positive or negative coverage [...]
Continue Reading →Simple Search
The search box is located in the top bar of the portal. The system supports the usual wildcard characters – while the asterisk (*) represents any number of unknown characters, the question mark (?) represents exactly one character. The syntax of additional options (source, location, date, etc.) is described in the advanced search section. Display [...]
Continue Reading →Advanced Search
Advanced query options extend the capabilities of the simple search. They enable users to filter the search results by specifying restrictions based on document metadata (title, source, date, geographic location, etc.): The title field of the documents can be queried using the title: operator; searching for “carbon dioxide title:ocean” will only return documents which contain [...]
Continue Reading →Similar Topics | Nearby Locations
Two just-in-time information retrieval agents list documents referring to similar topics and nearby locations relative to the Active Document (the term ‘nearby locations’ referring to the five documents with the closest target geography). The document markers (a-e, 1-5) are also used in the various maps to indicate the position of this document. The value underneath [...]
Continue Reading →Ontology Graph
The ontology graph displays a clickable domain model that matches documents and concepts to help users determine their current location in the information space. The ontology graph depicts hierarchical relations as arrows. The currently active document is highlighted by a yellow asterisk, and the letters [1-5] represent the classification of the five highest-ranking documents in [...]
Continue Reading →The tag cloud visualizes the most relevant keywords identified in recent online publications of a stakeholder group. Terms are arranged alphabetically; size and opacity are proportional to their importance – i.e., their relative frequency in the text archive (more frequent terms are rendered in darker shades, using a larger font, less frequent terms using a [...]
Continue Reading →Information Landscape
Information landscapes allow clustering and visualizing massive amounts of textual data. They implement the concept of ‘location’ in an innovative way that transcends the traditional geographic interpretation. The Information Landscape resembles a geographic map at first sight. Instead of geographic proximity, however, it represents semantic similarity between documents. At the time of map generation, its [...]
Continue Reading →Geographic Map
The geographic map shows the locations of documents based on analyzing their textual content (a process typically referred to as “geo-tagging”). The Active Document is highlighted by a yellow asterisk, and the letters [a-e] represent the five highest-ranking documents in the Similar Topics view. If users have an interest in a specific location rather than [...]
Continue Reading →Categories
Keywords