Abstract
Text Rank is a popular tool for obtaining words or phrases that are important for many Natural Language Processing (NLP) tasks. This paper presents a practical approach for Text Rank domain specific using Field Association (FA) words. We present the keyphrase separation technique not for a single document, although for a particular domain. The former builds a specific domain field. The second collects a list of ideal FA terms and compounds FA terms from the specific domain that are considered to be contender keyword phrases. Therefore, we combine two-word node weights and field tree relationships into a new approach to generate keyphrases from a particular domain. Studies using the changed approach to extract key phrases demonstrate that the latest techniques including FA terms are stronger than the others that use normal words and its precise words reach 90%.
Highlights
The knowledge available through a web is infinite most days
Text Rank is a popular tool for obtaining words or phrases that are important for many Natural Language Processing (NLP) tasks
This paper presents a practical approach for Text Rank domain specific using Field Association (FA) words
Summary
The knowledge available through a web is infinite most days. It frequently includes data of great quality in the form of online pages. Given the fact that Term Frequency and Inverse Document Frequency (TFIDF) is used to measure the domain weighted in a strengthened Text Rank system for Keyphrase extracting in prior gallate [6] [7], it is badly performed when retrieving domain-specific keyphrases. Keyphrase excavation requires so many regions related to key knowledge whereas the extraction of data file keyphrases hardly concerns the topic of a single document. The primary objective of the whole article is to study how to use field association words to strengthen domain-specific keyphrase extraction based on Text Rank using field association words. Extricate a list of different domain words or phrases using field association words algorithm, and obtain great and semi-perfect FA words.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
