In order to more efficiently catalogue many texts into subjects, Melingo created the Text Tagger. Text Tagger is a web-based tool which receives a text as input, and outputs a list of its prominent textual entities. The system also outputs HTML keyword tags which include these entities, for use in website building and promoting. The tags are automatically chosen according to criteria, and include texts of names, place names, names of organizations and a variety of other subjects. The system can be edited and tags can be added according to the user’s needs.
Characterisitics of Melingo’s Text Tagger
Identification of entities from a broad world of concepts
Automatically create HTML tags
Use of morphology
Example of Text Tagger function
In the following example the four central concepts were extracted from an article. Additionally, the system automatically created HTML keywords for cataloguing according to the main concepts.
Text Tagger in social networks
Among our customers