A Text Feature Based Automatic Keyword Extraction Method for Single Documents [chapter]

Ricardo Campos, Vítor Mangaravite, Arian Pasquali, Alípio Mário Jorge, Célia Nunes, Adam Jatowt
2018 Lecture Notes in Computer Science  
In this work, we propose a lightweight approach for keyword extraction and ranking based on an unsupervised methodology to select the most important keywords of a single document. To understand the merits of our proposal, we compare it against RAKE, TextRank and SingleRank methods (three well-known unsupervised approaches) and the baseline TF.IDF, over four different collections to illustrate the generality of our approach. The experimental results suggest that extracting keywords from
more » ... using our method results in a superior effectiveness when compared to similar approaches.
doi:10.1007/978-3-319-76941-7_63 fatcat:ptqjoc3pmfajppcivijzskonji