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Keyword research. The objective of keyword research is to generate, with good precision and recall, a large number of terms that are highly relevant yet non-obvious to the given input keyword. [1] The process of keyword research involves brainstorming and the use of keyword research tools, with popular ones including Semrush and Google Trends.
This free app takes seconds to download and can be used on a computer, tablet and phone. Long cherished by many writers, Grammarly’s AI algorithms delve beyond simple grammar corrections.
Domain Authority (DA), a website metric developed by Moz, is a predictive metric to determine a website's traffic and organic search engine rankings. Domain Authority is based on different link metrics, such as number of linking root domains, number of total backlinks, and the distance of backlinks from the home page of websites.
The Keyword Services Platform ( KSP) is a keyword research tool available through Microsoft adCenter, which contains a set of algorithms for providing information about keywords used in search engine queries. The KSP was originally conceived by ZhaoHui Tang, Dylan Huang, Wayne Guan, Jiong Feng, Li Luo, Ken Kwok, Fred Nie at Microsoft adCenter ...
keyword extraction (keywords are chosen from words that are explicitly mentioned in original text). Methods for automatic keyword extraction can be supervised, semi-supervised, or unsupervised. [4] Unsupervised methods can be further divided into simple statistics, linguistics or graph-based, or ensemble methods that combine some or most of ...
BASIC (Beginners' All-purpose Symbolic Instruction Code) is a family of general-purpose, high-level programming languages designed for ease of use. The original version was created by John G. Kemeny and Thomas E. Kurtz at Dartmouth College in 1963.
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
Comparison of research networking tools and research profiling systems. Research networking ( RN) is about using tools to identify, locate and use research and scholarly information about people and resources. Research networking tools ( RN tools) serve as knowledge management systems for the research enterprise.
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