dedupe
splink
dedupe | splink | |
---|---|---|
9 | 16 | |
3,973 | 1,086 | |
1.1% | 8.7% | |
7.1 | 9.9 | |
about 1 month ago | 6 days ago | |
Python | Python | |
MIT License | MIT License |
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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.
dedupe
- Using deep learning for Fuzzy Matching
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String distance based network for fuzzy matching?
I think this problem is known as data deduplication, in particular, entity deduplication. I googled a bit and it seems approaches vary from manual deduplication to some sort of active learning (if I am not mistaken). I am also curios if pre-trained transformer-based cross encoders can provide any good results (they are trained on sentences I think, but may be worth a try). Another problem here is how to measure progress (compare different approaches)?
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What's the toughest DE problem you faced in your work career?
I've had a good experience in the past with the dedupe package for these type activities. Unsure if it works for out-of-core type situations though, as my data set fit easily into memory.
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Model detects duplicate records
Data deduplication is a super common problem, so it's useful experience to work on it. It's generally useful for companies, but I don't think it could be sold as a product unless is solving a very complicated, domain-specific de-duping problem. Otherwise, there are generic, open source de-duping tools such as: dedupe. It sounds like your model is similar to that.
- [D] Suggestions for large-scale company name standardization?
- Entity Resolution with Magniv
- How to do fuzzy matching in Redshift? A Python UDF, for example?
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[OC] Media bias? US Sunday news shows book Republicans more than Democrats: Three of the five top Sunday news shows, altogether watched by almost 8 million people weekly, featured Republican partisans more often than Democrats in episodes aired this year through Oct. 31.
Tools used: Python to scrape guest lists, dedupeio to better identify guests, Google Sheets to store and analyze the data, and Datawrapper to make the charts.
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Does there exist a python package that clears the dataset/columns in terms of exact and similar duplicates?
Try https://github.com/dedupeio/dedupe
splink
- Splink: Fast, accurate, scalable probabilistic data linkage
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Ask HN: What projects are you working on?
https://github.com/moj-analytical-services/splink
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Record linkage/Entity linkage
Record linkage has been a big part of a project I've been working on for 6 months now. I personally think a great and free solution be using the splink package in Python which can handle 10+m rows which implements the Fellegi-Sunter model (equivalent to a naive-Bayes model) is the classical model in record linkage. It can be trained in an unsupervised manner using some initial parameter estimation (these are quite intuitive) and then expectation maximisation. The features in the model will be different pairwise string comparisons on your field of interest. These can include exact equality; edit distance comparisons like Levensthein distance and Jaro-Winkler; and phonetic comparisons like soundex and double metaphone. The splink pacakge will handle training the model and then all the graph theory at the end to connect all your links into clusters. All the details you'll need are in the links. https://www.robinlinacre.com/probabilistic\_linkage/ https://moj-analytical-services.github.io/splink/
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What is the best approach to removing duplicate person records if the only identifier is person firstname middle name and last name? These names are entered in varying ways to the DB, thus they are free-fromatted.
https://moj-analytical-services.github.io/splink/ is a FOSS python package (but it runs against your db using SQL).
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DuckDB – in-process SQL OLAP database management system
If you're curious, I've written a FOSS record linkage library that executes everything as SQL. It supports multiple SQL backends including DuckDB and Spark for scale, and runs faster than most competitors because it's able to leverage the speed of these backends: https://github.com/moj-analytical-services/splink
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Ask HN: What have you created that deserves a second chance on HN?
Splink - a python library for probabilistic record linkage (fuzzy matching/entity resolution).
Splink is dramatically faster and works on much larger datasets than other open source libraries. I'm particularly proud of the fact we support multiple execution backends (at the moment, DuckDb Spark Athena and Sqlite, but additional adaptors are relatively straightforward to write).
We've had >4 million pypi downloads and it's used in government, academia and the private sector, often replacing extremely expensive proprietary solutions.
https://github.com/moj-analytical-services/splink
More info in blog posts here:
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Conformed Dimensions problem that keeps recurring on every project
Splink is a SQL tool that can do this https://github.com/moj-analytical-services/splink
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How do you join two sources with attributes that aren't identical?
Probabilistic record matching model such as a Fellegi-Sunter. Check out the splink package in Python.
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Splink 3: Fast, accurate and scalable record linkage (entity resolution) in Python
Main docs here: https://moj-analytical-services.github.io/splink
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Splink 3: Fast, accurate and scalable fuzzy record linkage in Python with support for multiple backends (FOSS)
It'd be great to see Splink add value in this area! Do give us a shout if you have any questions. The best place to post is on the Github discussions: https://github.com/moj-analytical-services/splink/discussions
What are some alternatives?
imgdupes - Identifying and removing near-duplicate images using perceptual hashing.
zingg - Scalable identity resolution, entity resolution, data mastering and deduplication using ML
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
libpostal - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
bees - Best-Effort Extent-Same, a btrfs dedupe agent
sqlglot - Python SQL Parser and Transpiler
pyDenStream - Implementation of the DenStream algorithm in Python.
entity-embed - PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
hazelcast-python-client - Hazelcast Python Client
dblink - Distributed Bayesian Entity Resolution in Apache Spark
relevanceai - Home of the AI workforce - Multi-agent system, AI agents & tools
KaithemAutomation - Pure Python, GUI-focused home automation/consumer grade SCADA