NLP-Model-for-Corpus-Similarity VS StringDistances.jl

Compare NLP-Model-for-Corpus-Similarity vs StringDistances.jl and see what are their differences.

NLP-Model-for-Corpus-Similarity

A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet. (by kohjiaxuan)
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NLP-Model-for-Corpus-Similarity StringDistances.jl
1 2
9 135
- -
0.0 2.3
almost 4 years ago 25 days ago
Python Julia
MIT License GNU General Public License v3.0 or later
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NLP-Model-for-Corpus-Similarity

Posts with mentions or reviews of NLP-Model-for-Corpus-Similarity. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-24.

StringDistances.jl

Posts with mentions or reviews of StringDistances.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-30.
  • How to do a fuzzy join of two datafrmaes in Julia ?
    3 projects | /r/Julia | 30 Jan 2023
    You'll need: * StringDistances.jl to calculate the distance between the strings. * FlexiJoins.jl to join the dataframes based on a predicate. * A custom function that you write that takes two strings as arguments and returns a boolean for if the strings are "close enough" based on their distance.
  • Getting the difference of two strings
    2 projects | /r/Julia | 9 Apr 2021
    If you need to know exactly what the diff is, you might want to use something like github.com/google/diff-match-patch. Otherwise, a simple Levenshtein distance would suffice. This library seems to have a whole bunch of string distances implemented. Hope this helps!

What are some alternatives?

When comparing NLP-Model-for-Corpus-Similarity and StringDistances.jl you can also consider the following projects:

dtale - Visualizer for pandas data structures

diff-match-patch - Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers - aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Cadmium - Natural Language Processing (NLP) library for Crystal

bart-base-jax - JAX implementation of the bart-base model

Quickenshtein - Making the quickest and most memory efficient implementation of Levenshtein Distance with SIMD and Threading support

wordview - A Python package for Exploratory Data Analysis (EDA) for text-based data.

Java String Similarity - Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

mudderjs - Lexicographically-subdivide the “space” between strings, by defining an alternate non-base-ten number system using a pre-defined dictionary of symbol↔︎number mappings. Handy for ordering NoSQL keys.

go-edlib - 📚 String comparison and edit distance algorithms library, featuring : Levenshtein, LCS, Hamming, Damerau levenshtein (OSA and Adjacent transpositions algorithms), Jaro-Winkler, Cosine, etc...

fuzzy_pandas - Fuzzy matches and merging of datasets in pandas using csvmatch