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This article focuses on "how to use the similarity function in python". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn how to use the similarity function in python.

1. The similarity function takes two lists and returns a list of the same elements in both lists.

2, the function uses list derivation, traverses all the elements in the a list, and uses the in keyword to determine whether these elements exist in the b list.

Instance def similarity (a, b): return [item for item in an if item in b] # EXAMPLESsimilarity ([1,2,3], [1,2,4]) # [1,2]

Expansion of knowledge points:

Semantic similarity score of python semantic similarity_Python:string

Semantic similarity score of Python:string

Is there a library for calculating the semantic similarity score of a pair of sentences?

I know WordNet's semantic database and how to generate scores for 2 words, but I'm looking for a library that can perform all preprocessing tasks (such as port trunks, deprecated word deletions, etc.) throughout the sentence and output.

I found a job written in the .NET Framework that uses a series of preprocessing steps to calculate scores. Is there any project to do this in Python?

I'm not looking for an order of operations that will help me with my find scores (as required here)

I like to implement each stage myself, or paste functions from different libraries so that it can be used for sentence pairs, but I mainly need this tool to testing data inferences.

Editor: I'm considering using NLTK and calculating the score of iterations for these two sentences for every two words, and then draw inferences from the standard deviation of the results, but I don't know if this is a reasonable similarity estimate. In addition, it will take a long time.

Again, I am looking for a project / library that has implemented this intelligence. Something, let me do this:

Import amazing_semsim_package str1='Birthday party ruined as cake explodes' str2='Grandma mistakenly bakes cake using gunpowder' > > similarity (str1,str2) > > 0.889

The best packaging I've ever seen is Gensim on the Gensim home page find. I've used it many times, and I'm generally very satisfied with its ease of use, it's written in Python, and it starts with a simple tutorial that compares nine string. It can be installed through the point, so you won't have a lot of trouble getting it installed, I hope.

Which score algorithm you use depends largely on the background of your question, but if you want something basic, I build would like to start using LSI's function. This is a tutorial to guide you through.)

If you read the gensim tutorial, it will guide you to use Similaritiesfunction by comparing two string. This allows you to see how your bites are compared to each other according to the text they contain, or some other tingling.

At this point, I believe you have a deeper understanding of "how to use the similarity function in python". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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