stopword


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stop·word

 (stŏp′wûrd′)
n.
A frequently used word, such as a or the, that is not indexed in webpages and thus is not used in search engine queries.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

stopword

(ˈstɒpˌwɜːd)
n
a common word such as 'a' or 'the' that is not indexed or searchable in a computer search engine
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014
References in periodicals archive ?
[f.sub.fracS](d) Stopword and Non-stopword ratio Table 4.
(1) We used stopword lists provided by the Snowball Stemmer Project (2016a, 2016b) in German and English.
The technologies such as "Word frequency Accumulation," "Stemming Processing," and "Stopword Filtering" applied in this study were all performed with NLTK [10].
During the experiments, stopword removal, lowercase conversion and stemming were applied as the fundamental preprocessing steps.
Savoy, "A stemming procedure and stopword list for general French corpora," Journal of the American Society for Information Science, vol.
We varied the dimensions used between 5 and 1000 and we used different stopword settings (no stopword list, 30% stopword, 50% stopword list).
At this point, it is important to consider the use of stemming and stopword lists in order to reduce related words to their stem, base or root form.
This paper proposed the method of extracting user's interest by using the Facebook's social plug-in "Like" To extract interests of Christian Prats Facebook users, "Posts" and "Likes" were collected by using Facebook Open API and only nouns were extracted by preprocessing from collected "Posts" Pre-processing was organized in the order of Deleting Stopword, Term Normalization, POS Tagging, and Extracting Nouns.
As in the case of similarity scoring, fundamental-language analysis of the entirety of Blake's text is time consuming, and so some tasks are pre-computed, such as generating common bigrams, running the oeuvre through a common stopword list (which removes low-information-bearing words, such as articles and prepositions), and part-of-speech tagging.
[f.sub.m]} be the complete vocabulary set of the crawled news after stemming and stopword filtering.
Stopword contains the high frequency terms that are to be ignored from the text as they are not giving any useful information for our scenario.