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Research Methods: Stop words

Different than Google

What to look for

Stop words are frequently occurring, insignificant words that appear in a database record, article or web page.

Common stop words include:

  • a
  • an
  • the
  • in
  • of
  • on
  • are
  • be
  • if
  • into
  • which

About stop words

Why should you care about stop words?

    • Many databases ignore common words from your search statement.  If included, the database returns far too many results.

  • So you know which words to exclude from your search statement.

  • To make sure they are included if they are a significant part of your search.

    • Many databases recognize common stop words when they are part of the controlled vocabulary of subject headings and descriptors.  Example: balance of payments

  • Stop words vary by database. Check the Help screens for a list.

How can you avoid using stop words in your search?

    • In some databases, you can use techniques to include stop words as part of the search.

  • Some databases use quotes around stop words.  Example: Title keyword= out "of" africa retrieves title: Out of Africa

  • Choose the most significant words that describe your topic and connect them together using Boolean operators or proximity operators.

  • Search for your terms in specific fields, such as author, title or subject/descriptor.

    If the title of a book starts with AAn, or The, ignore the first word when searching for book titles.

    Ignore foreign language words such as: alell'lader.

ALAN TURING

R RecipesA Problem-Solution Approach

Front Cover
ApressDec 24, 2014 - Computers - 264 pages
 

R Recipes: A Problem-Solution Approach

https://books.google.com/books?isbn=1484201302
Larry Pace - 2014 - ‎Computers
Alan Turing posed the question in 1950 as to whether machines can “think,” though ... In text mining, some of the more mundane tasks are removing “stop words” ...

R Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly learn the fundamentals and explore the frontiers of programming, analyzing and using R.

R Recipes provides textual and visual recipes for easy and productive templates for use and re-use in your day-to-day R programming and data analysis practice. Whether you're in finance, cloud computing, big or small data analytics, or other applied computational and data science - R Recipes should be a staple for your code reference library.

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