simhash | A Python Implementation of Simhash Algorithm | Download Utils library
kandi X-RAY | simhash Summary
kandi X-RAY | simhash Summary
A Python Implementation of Simhash Algorithm
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Build a score from the given text
- Build a hash based on features
- Tokenize content
- Sum the digests
- Slide the content of the given content
- Convert a byte array into an array
simhash Key Features
simhash Examples and Code Snippets
git clone https://github.com/seomoz/simhash-py.git
cd simhash-py
git submodule update --init --recursive
sudo python setup.py install
Community Discussions
Trending Discussions on simhash
QUESTION
I'm currently creating a program that can compute near-dupliate score within a corpus of text documents (+5000 docs). I'm using Simhash to generate a uniq footprint of a document (thanks to this github repo)
my datas are :
...ANSWER
Answered 2019-Apr-10 at 09:49Before I answer your question, it is important to keep in mind:
- Simhash is useful as it detects near duplicates. This means that near duplicates will end up with the same hash.
- For exact duplicates you can simply use any one way, consistent hashing mechanism (ex. md5)
- The examples that you pasted here are too small and given their size, their differences are significant. The algorithm is tailored to work with large Web Documents and not small sentences.
Now, I have replied to your question on the Github issue that you raised here.
For reference though, here is some sample code you can use to print the final near duplicate documents after hashing them.
QUESTION
I've installed simhash using below command
...ANSWER
Answered 2017-Sep-16 at 14:46I've installed it via an another method.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install simhash
You can use simhash like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page