rletters.net

RLetters

GitHub (Bug Reports, etc.). Code Documentation (rubydoc.info). Do you want to analyze academic journal articles? Then RLetters is for you. RLetters is an open-source Rails web application designed for the maintenance of a large database of academic journal articles. RLetters currently allows users to perform the following sorts of textual analyses on sets of articles:. Compute term frequency information (for single words or multiple-word phrases). Compare word usage in two different datasets. You can che...

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RLetters | rletters.net Reviews

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GitHub (Bug Reports, etc.). Code Documentation (rubydoc.info). Do you want to analyze academic journal articles? Then RLetters is for you. RLetters is an open-source Rails web application designed for the maintenance of a large database of academic journal articles. RLetters currently allows users to perform the following sorts of textual analyses on sets of articles:. Compute term frequency information (for single words or multiple-word phrases). Compare word usage in two different datasets. You can che...

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RLetters | rletters.net Reviews

https://rletters.net

GitHub (Bug Reports, etc.). Code Documentation (rubydoc.info). Do you want to analyze academic journal articles? Then RLetters is for you. RLetters is an open-source Rails web application designed for the maintenance of a large database of academic journal articles. RLetters currently allows users to perform the following sorts of textual analyses on sets of articles:. Compute term frequency information (for single words or multiple-word phrases). Compare word usage in two different datasets. You can che...

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demo.rletters.net

RLetters Demo Installation

An application designed to perform complex textual analyses on a collection of journal articles. Do you want to know. What terms authors working in a given area often use? What makes articles in one area of inquiry different from those in another? How the use of language in the journal literature has changed over time? Then RLetters is for you. Sign up to get started! Screenshot caption one goes here. Screenshot caption two goes here. Screenshot caption three goes here.

INTERNAL PAGES

rletters.net

1

RLetters

http://www.rletters.net/downloads.html

GitHub (Bug Reports, etc.). Code Documentation (rubydoc.info). Since RLetters is a fast-moving project, probably the best way to obtain it is by checking out from the GitHub repository. We will occasionally cut releases when the project hits major milestones. If the release seems out of date, then you can either let us know and we'll think about producing a new one, or you can check out the latest development code from the Git repository. RLetters (v2.0.0) source code (2015-01-01).

2

RLetters

http://www.rletters.net/help

Welcome to the central page for help using RLetters. Note: If you were using a different website, clicked help, and were redirected here, everything’s probably okay! RLetters is a framework that many websites use to analyze journal articles, and this is its centralized help and user manual. For more information, see our frequently asked questions page. To get started quickly, try out the following. For more detail on these steps, check out the tutorial below! Sign up for a new user account, and log in.

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demo.rletters.net

RLetters Demo Installation

https://demo.rletters.net/datasets

An application designed to perform complex textual analyses on a collection of journal articles. Do you want to know. What terms authors working in a given area often use? What makes articles in one area of inquiry different from those in another? How the use of language in the journal literature has changed over time? Then RLetters is for you. Sign up to get started! Screenshot caption one goes here. Screenshot caption two goes here. Screenshot caption three goes here.

demo.rletters.net

RLetters Demo Installation

https://demo.rletters.net/users/edit

An application designed to perform complex textual analyses on a collection of journal articles. Do you want to know. What terms authors working in a given area often use? What makes articles in one area of inquiry different from those in another? How the use of language in the journal literature has changed over time? Then RLetters is for you. Sign up to get started! Screenshot caption one goes here. Screenshot caption two goes here. Screenshot caption three goes here.

demo.rletters.net

RLetters Demo Installation

https://demo.rletters.net/workflow/fetch

An application designed to perform complex textual analyses on a collection of journal articles. Do you want to know. What terms authors working in a given area often use? What makes articles in one area of inquiry different from those in another? How the use of language in the journal literature has changed over time? Then RLetters is for you. Sign up to get started! Screenshot caption one goes here. Screenshot caption two goes here. Screenshot caption three goes here.

demo.rletters.net

RLetters Demo Installation

https://demo.rletters.net/users/password/new

Enter your e-mail address here and we'll send you a link to create a new one. Built with RLetters the Open Source article textual analysis platform. For more information, see rletters.net.

demo.rletters.net

RLetters Demo Installation

https://demo.rletters.net/workflow/start

An application designed to perform complex textual analyses on a collection of journal articles. Do you want to know. What terms authors working in a given area often use? What makes articles in one area of inquiry different from those in another? How the use of language in the journal literature has changed over time? Then RLetters is for you. Sign up to get started! Screenshot caption one goes here. Screenshot caption two goes here. Screenshot caption three goes here.

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RLetters

GitHub (Bug Reports, etc.). Code Documentation (rubydoc.info). Do you want to analyze academic journal articles? Then RLetters is for you. RLetters is an open-source Rails web application designed for the maintenance of a large database of academic journal articles. RLetters currently allows users to perform the following sorts of textual analyses on sets of articles:. Compute term frequency information (for single words or multiple-word phrases). Compare word usage in two different datasets. You can che...

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