similarity

问题 I have a list of items and I want to identify their similarity in relation to the other items in this list. My desired output would be something along the lines of: The percentage shown in the similarity column is purely illustrative. I'm thinking that a test for similarity would be something along the lines of: number of concurrent letters / by the total number of letters in the matched item But would be keen to get opinions on that one. Is this something which is reasonably doable on Excel?

问题 I tried searching the answer in SO but didnt find any help. Here is what I´m trying to do: I have a dataframe (here is a small example of it): df = pd.DataFrame([[1, 5, 'AADDEEEEIILMNORRTU'], [2, 5, 'AACEEEEGMMNNTT'], [3, 5, 'AAACCCCEFHIILMNNOPRRRSSTTUUY'], [4, 5, 'DEEEGINOOPRRSTY'], [5, 5, 'AACCDEEHHIIKMNNNNTTW'], [6, 5, 'ACEEHHIKMMNSSTUV'], [7, 5, 'ACELMNOOPPRRTU'], [8, 5, 'BIT'], [9, 5, 'APR'], [10, 5, 'CDEEEGHILLLNOOST'], [11, 5, 'ACCMNO'], [12, 5, 'AIK'], [13, 5, 'CCHHLLOORSSSTTUZ'], [14

问题 I am trying to calculate semantic similarity between two words. I am using Wordnet-based similarity measures i.e Resnik measure(RES), Lin measure(LIN), Jiang and Conrath measure(JNC) and Banerjee and Pederson measure(BNP). To do that, I am using nltk and Wordnet 3.0. Next, I want to combine the similarity values obtained from different measure. To do that i need to normalize the similarity values as some measure give values between 0 and 1, while others give values greater than 1. So, my

问题 Similarly to this previous post I need to transfrom an attribute vector into a matrix. This time with differences between pairs of elements using R. For example I have a vector which reports the age of N people (from 18 to 90 years). I need to convert this vector into a NxN matrix named A (with people names on rows and columns), where each cell Aij has the value of |age_i-age_j|, representing the absolute difference in age between the two people i and j. Here is an example with 3 persons,

问题 I have a simple question which I stock in it! I have two data.frames and I want to compare them and show their similarity in percentage but I do not know how! Here is a simple example: a <- as.matrix(rbinom(10,1,1/2)) b <- as.matrix(rbinom(10,1,1/2)) > a [,1] [1,] 1 [2,] 0 [3,] 1 [4,] 0 [5,] 1 [6,] 0 [7,] 1 [8,] 1 [9,] 1 [10,] 0 > b [,1] [1,] 1 [2,] 0 [3,] 1 [4,] 1 [5,] 0 [6,] 0 [7,] 0 [8,] 0 [9,] 1 [10,] 0 I know that table shows the differences/similarities > table(a,b) b a 0 1 0 3 1 1 3 3

问题 I need to find the similarity between two lists of the short texts in Python. Texts can be 1-4 word long. The length of the lists can be 10K each. I didn't find how to do this effectively in spaCy. Maybe other packages can do this? I assume the words are represented by a vector (300d), but any other options are also Ok. This task can be done in a cycle, but there should be a more effective way for sure. This task fits the TensorFlow, pyTorch, and similar packages, but I'm not familiar with

问题 It might be similar question asked in this forum but I feel my requirement peculiar. I have a data frame df1 where it consists of variable "WrittenTerms" with 40,000 observations and I have another data-fame df2 with variable "SuggestedTerms" with 17,000 observations I need to calculate the similarity between "written Term" and "suggestedterms" df1$WrittenTerms head pain lung cancer abdminal pain df2$suggestedterms cardio attack breast cancer abdomen pain head ache lung cancer I need to get

问题 I have 2 arrays: $arr1 = array('Test', 'Hello', 'World', 'Foo', 'Bar1', 'Bar'); and $arr2 = array('hello', 'Else', 'World', 'Tes', 'foo', 'BaR1', 'Bar'); I need to compare the 2 arrays and save the position of the matching elements to a 3rd array $arr3 = (3, 0, 2, 4, 5, 6); //expected result, displaying position of matching element of $arr1 in $arr2. By 'matching' I mean all elements that are identical (ex. World), or partially the same (ex. Test & Tes) and also those elements that are alike

问题 I have 2 arrays: $arr1 = array('Test', 'Hello', 'World', 'Foo', 'Bar1', 'Bar'); and $arr2 = array('hello', 'Else', 'World', 'Tes', 'foo', 'BaR1', 'Bar'); I need to compare the 2 arrays and save the position of the matching elements to a 3rd array $arr3 = (3, 0, 2, 4, 5, 6); //expected result, displaying position of matching element of $arr1 in $arr2. By 'matching' I mean all elements that are identical (ex. World), or partially the same (ex. Test & Tes) and also those elements that are alike

问题 I have a problem when I try to use the function similarity proposed in the academic knowledge API. I tested the following commad to compute the similarity between two string: curl -v -X GET "https://api.labs.cognitive.microsoft.com/academic/v1.0/similarity?s1={string}&s2={string}" -H "Ocp-Apim-Subscription-Key: {subscription key}" The error that I get is : {"error":{"code":"Unspecified","message":"Access denied due to invalid subscript ion key. Make sure you are subscribed to an API you are