In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential states or possible outcomes.

The program can calculate a single entropy score for all text that's in the input area, find multiple individual entropies for each line of the text, or calculate the entropy for each separate paragraph.

Apr 6, 2022 · One way to calculate the entropy of english is by a series of approximations based on N-grams i.e conditional entropy of the sequence given the past.

Jun 5, 2010 · Shannon's entropy equation is the standard method of calculation. Here is a simple implementation in Python, shamelessly copied from the Revelation codebase, and thus GPL licensed: "Calculates the Shannon entropy of a string" # get probability of chars in string. prob = [ float(string.count(c)) / len(string) for c in dict.fromkeys(list(string)) ]

Statistically calculating the redundancy of the English language has numerous practical applications. ASCII reserves exactly 8 binary digits per character. However, this is highly inefficient, considering that some calculations place the entropy of …

Feb 21, 2011 · What you're calculating there isn't the entropy of the string but the entropy of a character in the string. You should consider whether to include a pseudo-character with frequency 1 for the string terminator (a unary number has some content), and whether to multiply by the length of the string. \$\endgroup\$

May 23, 2013 · Entropy is not the difference between two strings. It is the measure of redundancy or randomness of data, including strings. Highly random data will have an even distribution of tokens and will contain few meaningful patterns and high entropy.

Dec 13, 2015 · Entropy is a measure of how much information there is in one source with one probability distribution. Relative entropy is a measure how close or distant one probability distribution is to another. If you have one probability distribution you wish to test against your string then you could calculate a relative entropy.

Complete List of Characters in Thomas Pynchon's Entropy. Learn everything you need to know about Meatball Mulligan, Callisto, and more in Entropy.

Oct 12, 2024 · The first order entropy, or single character entropy, is computed from the distribution of character frequencies in a text. The second order, or character pair entropy is computed from the distribution of character pairs.