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Extracting Keywords of Educational Texts Using a Novel Mechanism Based on Linguistic Approaches and Evolutive Graphs by Jordán Pascual Espada; Jaime Solís Martínez; Irene Cid Rico; Luis Emilio Velasco Sánchez is a Computer Science article available to read on EtoBox.
What is Extracting Keywords of Educational Texts Using a Novel Mechanism Based on Linguistic Approaches and Evolutive Graphs about?
Keyword extraction is an important topic applicable to a wide range of areas such as span detection, information classification, sentiment analysis, and so on. There are hundreds of algorithms which can extract keywords from text documents. Many of these algorithms also use the functionality of the keywords, which is important, especially if we need to limit to a specific area of knowledge. This research work focuses on extracting keywords from educational texts. In an educational context, the keywords are the most important parts of the lesson and may answer the professor’s questions. Classic keyword extraction algorithms have a very low success rate extracting keywords from educational texts, as the words extracted by these algorithms are very different from those selected by the teachers. Normally, the most important words from an educational point of view would not match with the most repeated words in that text. This research work attempts to improve automatic keyword extraction in educative texts, avoiding professors from having to do this tedious task. The possibility of detecting keywords automatically could be a starting point for the creation of applications capable of ge
Who reads Extracting Keywords of Educational Texts Using a Novel Mechanism Based on Linguistic Approaches and Evolutive Graphs?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Jordán Pascual Espada; Jaime Solís Martínez; Irene Cid Rico; Luis Emilio Velasco Sánchez
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Computer Science (Physical Sciences)