Sentence examples for keyword comparison from inspiring English sources

Endogenous links between segments, within the collection, were established based on a simple keyword comparison heuristics.

For a given set which has n points in Skip-Octree, each level requires O(1) time for a pointer move and keyword comparison.

(Note that different techniques could have been used for endogenous link generation. In particular, the same filtering technique as for exogenous links could be used. The idea behind a simple keyword comparison was, in the long term, to be able to incrementally add new segments daily, a task which requires highly efficient techniques to compare two segments).

These shorter reads were termed keywords, and comparison of keywords between reads allowed the correct determination of the bases at the end of each keyword.

The emphasis of the research was to describe trends in physical activity and ageing research from the following five aspects: Trend of publications during 1980 2015 Analysis of distribution of author keywords Analysis of distribution of KeyWords Plus Comparison of papers citation based on author keywords with the KeyWords Plus Citation analysis of the research output.

This sets their method apart from other methods of keyword profile comparison: even a small, but significant, number of overlapping terms can be enough to highlight an association.

Although both kinds of semantic service selection are not keyword-based comparison, only profiles of services and requirements are taken into account.

(SEO takes into consideration the density of keywords in comparison to the rest of your site's content).

Also, the ability to filter eFIP results based on keywords facilitates comparisons of phospho-dependent PPIs in different contexts, which can reveal hidden biological connections (e.g., the relations in common between the cancer and diabetes networks).

However, Bright's core value proposition has been that it goes one step further than simply using keyword extraction and comparison to "match" candidates to the right jobs, instead using a magical combination of data science and machine learning algorithms to offer better matches.

First, we build a human iGluR list as a comparison by keyword search (Table 4).