simhash | Chinese document simhash value calculation

 by   yanyiwu C++ Version: v1.0.0 License: No License

kandi X-RAY | simhash Summary

kandi X-RAY | simhash Summary

simhash is a C++ library. simhash has no bugs, it has no vulnerabilities and it has medium support. You can download it from GitHub.

Chinese document simhash value calculation
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              simhash has a medium active ecosystem.
              It has 1011 star(s) with 260 fork(s). There are 55 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 12 open issues and 6 have been closed. On average issues are closed in 33 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of simhash is v1.0.0

            kandi-Quality Quality

              simhash has no bugs reported.

            kandi-Security Security

              simhash has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              simhash does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              simhash releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            simhash Key Features

            No Key Features are available at this moment for simhash.

            simhash Examples and Code Snippets

            No Code Snippets are available at this moment for simhash.

            Community Discussions

            QUESTION

            How to compare the similarity of documents with Simhash algorithm?
            Asked 2019-Aug-06 at 14:32

            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 09:49

            Before I answer your question, it is important to keep in mind:

            1. Simhash is useful as it detects near duplicates. This means that near duplicates will end up with the same hash.
            2. For exact duplicates you can simply use any one way, consistent hashing mechanism (ex. md5)
            3. 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.

            Source https://stackoverflow.com/questions/49820228

            QUESTION

            python simhash import issue [github.com/seomoz/simhash-py]
            Asked 2017-Oct-08 at 18:15

            I've installed simhash using below command

            ...

            ANSWER

            Answered 2017-Sep-16 at 14:46

            I've installed it via an another method.

            Source https://stackoverflow.com/questions/46253804

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install simhash

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/yanyiwu/simhash.git

          • CLI

            gh repo clone yanyiwu/simhash

          • sshUrl

            git@github.com:yanyiwu/simhash.git

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