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Scientists find secret to writing a best-selling novel - Telegraph - 0 views

www.telegraph.co.uk/...ting-a-best-selling-novel.html

Writing Literature Big Data Algorithm Popular Culture

shared by Weiye Loh on 12 Jan 14 - No Cached

They found several trends that were often found in successful books, including heavy use of conjunctions such as “and” and “but” and large numbers of nouns and adjectives. Less successful work tended to include more verbs and adverbs and relied on words that explicitly describe actions and emotions such as “wanted”, “took” or “promised”, while more successful books favoured verbs that describe thought processes such as “recognised” or “remembered”.
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Weiye Loh on 12 Jan 14

"Scientists find secret to writing a best-selling novel Computer scientists have developed an algorithm which can predict with 84 per cent accuracy whether a book will be a commercial success - and the secret is to avoid cliches and excessive use of verbs"

<div class="cArrow"> </div><div class="cContentInner">"Scientists find secret to writing a best-selling novel Computer scientists have developed an algorithm which can predict with 84 per cent accuracy whether a book will be a commercial success - and the secret is to avoid cliches and excessive use of verbs"</div>

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Deep Grammar will correct your text using AI technology - 0 views

thenextweb.com/...-your-text-using-ai-technology

Grammar Machine Learning Deep Learning Algorithm Language Artificial Intelligence

shared by Weiye Loh on 10 Jan 16 - No Cached

Weiye Loh on 10 Jan 16

Deep Grammar works by giving each word a value known as a vector. It then uses that value to determine what context you have used the term in and whether or not it needs changing when it analyzes your text. Mugan gives the example of how Deep Grammar might learn that "I feel worried" is closer to the same meaning as "I feel anxious" than it is to "I feel sleepy." It takes three steps to analyze what has been written - firstly, it computes the likelihood that what's written is what you mean to say and then if needs be, it will replicate the sentence or phrase with something more likely to be what you meant and makes a suggestion to edit.

<div class="cArrow"> </div><div class="cContentInner">Deep Grammar works by giving each word a value known as a vector. It then uses that value to determine what context you have used the term in and whether or not it needs changing when it analyzes your text. Mugan gives the example of how Deep Grammar might learn that "I feel worried" is closer to the same meaning as "I feel anxious" than it is to "I feel sleepy." It takes three steps to analyze what has been written - firstly, it computes the likelihood that what's written is what you mean to say and then if needs be, it will replicate the sentence or phrase with something more likely to be what you meant and makes a suggestion to edit. </div>

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