Type in a word or phrase in one of seven languages (English, French, German, Spanish, Hebrew, Russian, Chinese) and see how its usage frequency has been changing throughout the past few centuries. Addictive.
Note: the dataset's quality is highest for English between 1800 and 2000. Some more on interpretation.
1- use texts in a variety of formats including plain text, HTML, XML, PDF, RTF and MS Word
2- use texts from different locations, including URLs and uploaded files
3- perform lexical analysis including the study of frequency and distribution data; in particular
4- export data into other tools (as XML, tab separated values, etc.)
5- embed live tools into remote web sites that can accompany or complement your own content
WordSeer is a text analysis environment that combines visualization, information retrieval, sensemaking and and natural language processing to make the contents of text navigable, accessible, and useful.
1- Discover text manipulation, analysis, and visualization tools
2- Discover historic tools
3- Read tool reviews and recommendations
4- Learn about papers, articles and other sources about specific tools
5- Tag, comment, rate and review collaboratively
NC provides a new way to navigate large collections of texts. Using a statistical method called topic modeling, it creates links between passages that share common vocabularies, while also showing in detail the way in which the topic modeling program has “read” the texts.
Canadian Writing Research Collaboratory / Le Collaboratoire scientifique des écrits du Canada is an online infrastructure project designed to enable unprecedented avenues for studying the words that most move people in and about Canada.
Poem Viewer is a web-based tool for visualizing poems in support of close reading. You can either start creating your own visualization for your chosen poem or have a look at a collection of sample visualizations that we have created.