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Text analysis, wordcount, keyword density analyzer, prominence analysis

Text analysis, wordcount, keyword density analyzer, prominence analysis

http://textalyser.net/

Related:  Text AnalysisAnalyse automatique de textes

Cliche Finder Have you been searching for just the right cliché to use? Are you searching for a cliché using the word "cat" or "day" but haven't been able to come up with one? Just enter any words in the form below, and this search engine will return any clichés which use that phrase... Over 3,300 clichés indexed! What exactly is a cliche?See my definition Do you know of any clichés not listed here?

Machine learning has been used to automatically translate long-lost languages The other script, Linear B, is more recent, appearing only after 1400 BCE, when the island was conquered by Mycenaeans from the Greek mainland. Evans and others tried for many years to decipher the ancient scripts, but the lost languages resisted all attempts. The problem remained unsolved until 1953, when an amateur linguist named Michael Ventris cracked the code for Linear B. His solution was built on two decisive breakthroughs.

100 Useful Web Tools for Writers All kinds of writers, including poets, biographers, journalists, biz tech writers, students, bloggers and technical writers, take a unique approach to their jobs, mixing creativity with sustainability. Whether you’re a freelance writer just scraping by or someone with a solid job and more regular hours, the Internet can provide you with unending support for your practical duties like billing, scheduling appointments, and of course getting paid; as well as for your more creative pursuits, like developing a plot, finding inspiration and playing around with words. Turn to this list for 100 useful Web tools that will help you with your career, your sanity and your creativity whenever your write. Getting Started with Text Preprocessing for Machine Learning & NLP Based on some recent conversations, I realized that text preprocessing is a severely overlooked topic. A few people I spoke to mentioned inconsistent results from their NLP applications only to realize that they were not preprocessing their text or were using the wrong kind of text preprocessing for their project. With that in mind, I thought of shedding some light around what text preprocessing really is, the different techniques of text preprocessing and a way to estimate how much preprocessing you may need.

Unusual Writing Ideas for Extraordinary Writers Unusual writing ideas for extraordinary writers When we think about writing ideas, what usually comes to mind are characters, plots, scenes, language, and images. Ideas almost always have to do with concepts and matters of the mind, but what about the physical act of writing? Text Mining with R In text mining, we often have collections of documents, such as blog posts or news articles, that we’d like to divide into natural groups so that we can understand them separately. Topic modeling is a method for unsupervised classification of such documents, similar to clustering on numeric data, which finds natural groups of items even when we’re not sure what we’re looking for. Latent Dirichlet allocation (LDA) is a particularly popular method for fitting a topic model. It treats each document as a mixture of topics, and each topic as a mixture of words. This allows documents to “overlap” each other in terms of content, rather than being separated into discrete groups, in a way that mirrors typical use of natural language. As Figure 6.1 shows, we can use tidy text principles to approach topic modeling with the same set of tidy tools we’ve used throughout this book.

R Programming/Text Processing This page includes all the material you need to deal with strings in R. The section on regular expressions may be useful to understand the rest of the page, even if it is not necessary if you only need to perform some simple tasks. This page may be useful to : perform statistical text analysis.collect data from an unformatted text file.deal with character variables. In this page, we learn how to read a text file and how to use R functions for characters. There are two kind of function for characters, simple functions and regular expressions.

R’s tidytext turns messy text into valuable insight “Many of us who work in analytical fields are not trained in even simple interpretation of natural language,” write Julia Silge, Ph.D., and David Robinson, Ph.D., in their newly released book Text Mining with R: A tidy approach. The applications of text mining are numerous and varied, though; sentiment analysis can assess the emotional content of text, frequency measurements can identify a document’s most important terms, analysis can explore relationships and connections between words, and topic modeling can classify and cluster similar documents. I recently caught up with Silge and Robinson to discuss how they’re using text mining on job postings at Stack Overflow, some of the challenges and best practices they’ve experienced when mining text, and how their tidytext package for R aims to make text analysis both easy and informative. Let’s start with the basics. Why would an analyst mine text? What insights can be derived from mining instances of words, sentiment of words?

Laurence Anthony's Software FireAnt (Filter, Identify, Report, and Export Analysis Toolkit) is a freeware social media and data analysis toolkit with built-in visualization tools including time-series, geo-position (map), and network (graph) plotting. [FireAnt Homepage] [Screenshots] [Help] PayPal Donations and Patreon Supporters: Click one of the following if you want to make a small donation to support the future development of this tool.

A Statistical Analysis of the Work of Bob Ross Bob Ross was a consummate teacher. He guided fans along as he painted “happy trees,” “almighty mountains” and “fluffy clouds” over the course of his 11-year television career on his PBS show, “The Joy of Painting.” In total, Ross painted 381 works on the show, relying on a distinct set of elements, scenes and themes, and thereby providing thousands of data points. I decided to use that data to teach something myself: the important statistical concepts of conditional probability and clustering, as well as a lesson on the limitations of data.

Nueva pubble herramienta gratuita Añade Q & A en tiempo real a cualquier sitio web An interesting web tool just popped into the ol’ guest post area of Edudemic. It’s called Pubble (reminds me of the Flintstones, no?) and it’s a simple way to add a real-time question-and-answer area to your website.Great for admissions offices, teachers who need to have a back-and-forth between themselves and their classroom (virtual or in-person), and basically anyone with a website. So if you’ve got a blog or website, you could consider adding a ‘Forum’ or ‘Questions’ area using the Pubble tool. It looks to be simple enough to setup, according to the Pubble.co website. I tried it out myself on a test page here on Edudemic and it worked quite well.

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