» Text Analysis with R for Students of Literature Matthew L. Jockers Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. View the Book Flyer [pdf 1.4MB] Introduction to the RStudio Programming Environment [Video]. “This is a well written book on the topic of Text Analysis. “This book is an essential resource for anyone who wants to study literature using computational methods.” “I can’t think of a more qualified person to guide readers through powerful R techniques for text analysis. “The open source programming language R has become one of the most central statistical and analytical tool in many sciences. Thanks to all of those below who provided comments and feedback.
Open Source DCoT Application - Word Counter I am in the process of performing some analysis on the posts on Daily Cup of Tech. One of the things that I want to do is a word count and frequency analysis on the entire blog.Now, I could go with good ol’ pen and paper and start counting every single word on the blog. But, that would take me quite a mount of time, not to mention that I would not learn anything in the process. So, I decided to export the contents of my mySQL database the runs behind the scenes at DCoT to a text file and then download a word and frequency counter. But, my bad fortune is your lucky day. The application is a self contained program that is fully portable to USB devices. Here is a screenshot of my new baby: Most of the program is self explanatory. The delete options may be the only confusion portion. The Use Spaces option will replace all deleted characters with spaces rather than deleting them. Feel free to play around with this and let me know if you find it to be useful.
WikapediaDefofCMinWordle Intro To Text Analysis With R Guest post by Christopher Johnson from www.codeitmagazine.com One of the most powerful aspects of using R is that you can download free packages for so many tools and types of analysis. Text analysis is still somewhat in its infancy, but is very promising. It is estimated that as much as 80% of the world’s data is unstructured, while most types of analysis only work with structured data. In this paper, we will explore the potential of R packages to analyze unstructured text. R provides two packages for working with unstructured text – TM and Sentiment. install.packages("devtools") require(devtools) install_url(" install_url(" install_url(" The remaining required packaged can be installed as follows. install.packages("plyr") install.packages("ggplot2") install.packages("wordcloud") y = NA
Nine Excellent (Yet Free) Online Word Cloud Generators There are many online word cloud generator out there for web users, but getting by free and good ones is not that easy. That is why I am sharing Nine Excellent (Yet Free) Online Word Cloud Generators. Read each entry in the list and see which one suits your needs best. You are welcome if you want to share more online word cloud generators that our readers/viewers may like. Do you want to be the first one to know the latest happenings at SmashingApps.com, just subscribe to our rss feed and you can follow us on twitter to get updated. Tip: You can try hotjar now, for free, to understand how visitors are browsing your website. Wordle Wordle is a toy for generating “word clouds” from text that you provide. tagCloud generator This can generate your tag clouds in html and flash online with just a few steps in downloadable form. ImageChef With tool, you can create a different styled and shaped word cloud and send to your friends etc as a post card. ABCya Tagul Word Cloud WordItOut Tagxedo TagCrowd
Text Permutation Generator - Letter, Number, Word, Combinations Permutations will load here. Enter up to 10 objects to permute into the object fields above. Objects can be any text from a single letter to whole sentence. Permuted sets can have a prefix and/or suffix added via the prefix/suffix fields. NOTE: To generate combinations, with or without repetition, to a specific set length, use the Combination Generator. Statistical Methods for Studying Literature Using R R is a powerful programing language for statistical analysis and visualization that can be broadly used for many applications in the digital humanities. As with any programming language, getting started with R involves a steep initial learning curve in order to produce useful results. In its current form, this blog contains the notes from a hands-on workshop that I initially ran at the University of Kansas's Digital Humanities Forum/THATCamp Representing Knowledge in the Digital Humanities in September of 2011 and expanded with a more literary focus at the (University of Kansas 2012 Digital Humanities Forum). The examples are based on three different data sets. Next: Getting Started With R -->>
Tagxedo - Word Cloud with Styles Discourse analysis Discourse analysis (DA), or discourse studies, is a general term for a number of approaches to analyze written, vocal, or sign language use, or any significant semiotic event. Discourse analysis has been taken up in a variety of social science disciplines, including linguistics, education, sociology, anthropology, social work, cognitive psychology, social psychology, area studies, cultural studies, international relations, human geography, communication studies, and translation studies, each of which is subject to its own assumptions, dimensions of analysis, and methodologies. Topics of interest[edit] Topics of discourse analysis include:[citation needed] Political discourse[edit] Political discourse analysis is a field of discourse analysis which focuses on discourse in political forums (such as debates, speeches, and hearings) as the phenomenon of interest. History[edit] Although the ancient Greeks (among others) had much to say on discourse, some scholars[which?] Perspectives[edit]
Gallery Michael Jackson Hardy Leung, July 31, 2010 Paul the Octopus Hardy Leung, July 11, 2010 Frida Kahlo Hardy Leung, July 7, 2010 Dalmatian Hardy Leung, June 8, 2010 Ada Lovelace (Computer Pioneer) Hardy Leung, May 26, 2010 Rosa Parks Hardy Leung, May 26, 2010 Eleanor Roosevelt Hardy Leung, May 26, 2010 Martin Luther King Jr. Country Populations Hardy Leung, April 1, 2010 Stanford Literary Lab