Papers › FRAKE: Fusional Real-time Automatic Keyword Extraction

FRAKE: Fusional Real-time Automatic Keyword Extraction

10 Apr 2021arXiv:2104.04830archive 2025-07-28

Aidin Zehtab-Salmasi, Mohammad-Reza Feizi-Derakhshi, Mohamad-Ali Balafar

Keyword extraction is the process of identifying the words or phrases that express the main concepts of text to the best of one's ability. Electronic infrastructure creates a considerable amount of text every day and at all times. This massive volume of documents makes it practically impossible for human resources to study and manage them. Nevertheless, the need for these documents to be accessed efficiently and effectively is evident in numerous purposes. A blog, news article, or technical note is considered a relatively long text since the reader aims to learn the subject based on keywords or topics. Our approach consists of a combination of two models: graph centrality features and textural features. The proposed method has been used to extract the best keyword among the candidate keywords with an optimal combination of graph centralities, such as degree, betweenness, eigenvector, closeness centrality and etc, and textural, such as Casing, Term position, Term frequency normalization, Term different sentence, Part Of Speech tagging. There have also been attempts to distinguish keywords from candidate phrases and consider them on separate keywords. For evaluating the proposed method, seven datasets were used: Semeval2010, SemEval2017, Inspec, fao30, Thesis100, pak2018, and Wikinews, with results reported as Precision, Recall, and F- measure. Our proposed method performed much better in terms of evaluation metrics in all reviewed datasets compared with available methods in literature. An approximate 16.9% increase was witnessed in F-score metric and this was much more for the Inspec in English datasets and WikiNews in forgone languages.

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Tasks

Keyword ExtractionPart-Of-Speech TaggingSentence

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Keyword Extraction Inspec FRAKE F1 score 58.9 #5 of 5 Archive leaderboard report
Keyword Extraction Inspec FRAKE Precision@10 57.2 #5 of 5 Archive leaderboard report
Keyword Extraction Inspec FRAKE Recall @ 10 60.7 #5 of 5 Archive leaderboard report
Keyword Extraction SemEval 2010 Task 8 FRAKE F1 score 37.5 #5 of 5 Archive leaderboard report
Keyword Extraction SemEval 2010 Task 8 FRAKE Precision@10 41.5 #5 of 5 Archive leaderboard report
Keyword Extraction SemEval 2010 Task 8 FRAKE Recall@10 34.3 #5 of 5 Archive leaderboard report
Keyword Extraction SemEval-2017 Task-10 FRAKE F1 score 54 #5 of 5 Archive leaderboard report
Keyword Extraction SemEval-2017 Task-10 FRAKE Precision@10 53.6 #5 of 5 Archive leaderboard report
Keyword Extraction SemEval-2017 Task-10 FRAKE Recall@10 54.4 #5 of 5 Archive leaderboard report

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