Automatic Keyphrase Extractor from Arabic Documents

Automatic keyphrase extraction for Arabic news documents based on KEA system

Phraserate: an Html Keyphrase Extractor *

A standard feature in cataloging documents is the list of keywords. When the source documents are web pages, we can attempt to aid the cataloger by analyzing the page and presenting relevant support material. Since the keywords that occur in a document generally occur in keyphrases, and keyphrases provide contextual material for reviewing candidate keywords, they are a natural aggregate to extr...

Unsupervised Approach for Automatic Keyword Extraction from Arabic Documents

In this paper, we present an unsupervised two-phase approach to extract keywords from Arabic documents that combines statistical analysis and linguistic information. The first phase detects all the N-grams that may be considered keywords. In the second phase, the N-grams are analyzed using a morphological analyzer to replace the words of the N-grams with their base forms that are the roots for ...

A Refined Methodology for Automatic Keyphrase Assignment to Digital Documents

AbstrAct: Keyphrases precisely express the primary topics and themes of documents and are valuable for cataloging and classification. Manually assigning keyphrases to existing documents is a tedious task; therefore, automatic keyphrase generation has been extensively used to classify digital documents. Existing automatic keyphrase generation algorithms are limited in assigning semantically rele...

DegExt: a language-independent keyphrase extractor

In this paper, we introduce DegExt, a graph-based languageindependent keyphrase extractor,which extends the keyword extraction method described in (Litvak & Last, 2008). We compare DegExt with two state-of-the-art approaches to keyphrase extraction: GenEx (Turney, 2000) and TextRank (Mihalcea & Tarau, 2004). We evaluated DegExt on collections of benchmark summaries in two different languages: E...