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"Computational Linguistics became an open access journal, freely available to all online readers. ... Computational Linguistics is the longest running publication devoted exclusively to the design and analysis of natural language processing systems. From this highly-regarded quarterly, university and industry linguists, speech specialists, and philosophers get information about computational aspects of research on language, linguistics, and the psychology of language processing and performance."

Novelist Kurt Vonnegut once opined, "There is no reason why the simple shapes of stories can't be fed into computers. They are beautiful shapes." Thanks to new text-mining techniques, this has now been done. Researchers at the University of Vermont's Computational Story Lab have analysed over 1,700 English novels to reveal six basic story types - you could call them archetypes - that form the building blocks for more complex stories. They are: 1. Rags to riches - a steady rise from bad to good fortune 2. Riches to rags - a fall from good to bad, a tragedy 3. Icarus - a rise then a fall in fortune 4. Oedipus - a fall, a rise then a fall again 5. Cinderella - rise, fall, rise 6. Man in a hole - fall, rise The researchers used sentiment analysis to get the data - a statistical technique often used by marketeers to analyse social media posts in which each word is allocated a particular 'sentiment score', based on crowdsourced data. Depending on the lexicon chosen, a word can be categorised as positive (happy) or negative (sad), or it can be associated with one or more of eight more subtle emotions, including fear, joy, surprise and anticipation. For example, the word 'happy' is positive, and associated with joy, trust and anticipation. The word 'abolish' is negative and associated with anger. Do sentiment analysis on all the words in a novel, poem or play and plot the results against time, and it's possible to see how the mood changes over the course of the text, revealing a kind of emotional narrative. While not a perfect tool - it looks at words in isolation, ignoring context - it can be surprisingly insightful when applied to larger chunks of text

"Now, after a computer analysis of three decades of hit songs, Dr. DeWall and other psychologists report finding what they were looking for: a statistically significant trend toward narcissism and hostility in popular music. As they hypothesized, the words "I" and "me" appear more frequently along with anger-related words, while there's been a corresponding decline in "we" and "us" and the expression of positive emotions."

The Stanford Literary Lab is a research collective that applies computational criticism, in all its forms, to the study of literature. Check out their pamphlets to read more about their various literary projects, including "The Emotions of London", "The Language of World Bank Reports."

"Biologists using tools developed for drawing evolutionary family trees say that they have solved a longstanding problem in archaeology: the origin of the Indo-European family of languages. ... Dr. Atkinson's work has integrated a large amount of information with a computational method that has proved successful in evolutionary studies. But his results may not sway supporters of the rival theory, who believe the Indo-European languages were spread some 5,000 years later by warlike pastoralists who conquered Europe and India from the Black Sea steppe."

"Psychopathic murderers use words that reveal selfishness, detachment, and emotional flatness, according to a new study that used computer analysis to identify speech patterns."

Why do Jane Austen's literary works endure some 200 years after her death? The Stanford Literary Lab ran computational analysis on the words contained in Austen's work. Eschewing the fantastical and dramatic elements typical of novels both in Austen's lifetime and ours, Austen is more concerned with social realities and human nature. Her works display emotional intelligence; she employs more words about emotions and time, as well as abstract words connected to states of mind and social relationships.