NLP-Model-for-Corpus-Similarity
StringDistances.jl
| NLP-Model-for-Corpus-Similarity | StringDistances.jl | |
|---|---|---|
| 1 | 2 | |
| 9 | 137 | |
| - | 1.5% | |
| 0.0 | 3.9 | |
| almost 5 years ago | 12 months ago | |
| Python | Julia | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
NLP-Model-for-Corpus-Similarity
StringDistances.jl
-
How to do a fuzzy join of two datafrmaes in Julia ?
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
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?
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 ;)
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 ...
bart-base-jax - JAX implementation of the bart-base model
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.