Keyphrase Extraction from Document Using RAKE and TextRank Algorithms

Abstract

Traditional approaches to extract useful Keyphrase from a sentence rely heavily on human effort. In this paper, to overcome this challenge, Automatic Keyphrase Extraction algorithm has been used to extract a Keyphrase efficiently that reduces the scope for human errors and saves time. The Machine Learning algorithms detect the Keyphrase from a sentence that the user feeds as an input and sets a reminder using the Keyphrase. RAKE and Textrank algorithms help to extract Keyphrase or important terms of a given text document. RAKE and TextRank techniques applied to find and analyze the best possible way of extracting the Keyphrase efficiently. With slight modifications to the code, the algorithms can be implemented to serve different application domain such as message or threat decoding in military purposes and can be extended to use in speech-to-text translation and sentimental analysis of the data.

ICD-10 WHO Search With RAKE Algorithm

“…NLP is a component of artificial intelligence (AI). Natural language refers to the way we humans communicate with each other namely, speech and text (Baruni & Sathiaseelan, 2020). It deals with formal language theory, construction method, theorem proof, machine learning, and human-computer interaction in computer science (Armentano et al, 2014).…”

“…The candidate keywords were extracted using RAKE. RAKE is an automatic domain-independent method for extracting single document keyword (Anjali et al, 2019;Baruni & Sathiaseelan, 2020;Benita & Baizal, 2022). RAKE (Rapid Automatic Keyword Extraction) utilizes a stop-list to locate candidate keyword.…”

Trendbericht: Chemiedidaktik 2022

“…Für diesen Beitrag wurde der Rake-Algorithmus (rapid automatic keyword extraction algorithm) verwendet, der die Häufigkeit von Schlüsselwörtern und ihr gemeinsames Auftreten in Texten analysiert und in Form eines Scores quantifiziert (Abbildungen 7 und 8, S. 22). 39) Ähnlich wie im letzten Trendbericht festgestellt hat die chemiedidaktische Forschung für die Hochschulen international nicht an Re-Abb. 5.…”

News Recommender System Based on User Log History Using Rapid Automatic Keyword Extraction

“…The candidate keywords were extracted using RAKE. RAKE is an automatic domain-independent method for extracting single document keywords [10], [11]. We use RAKE to extract relevant word sets by combining the title and content of the news into a candidate keyword.…”