multsum | Summarization system taking multiple sentence | Natural Language Processing library

 by   olofmogren Python Version: Current License: No License

kandi X-RAY | multsum Summary

kandi X-RAY | multsum Summary

multsum is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. multsum has no bugs, it has no vulnerabilities and it has low support. However multsum build file is not available. You can download it from GitHub.

Summarization system taking multiple sentence similarity measures into account
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            kandi-support Support

              multsum has a low active ecosystem.
              It has 22 star(s) with 9 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              multsum has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of multsum is current.

            kandi-Quality Quality

              multsum has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              multsum releases are not available. You will need to build from source code and install.
              multsum has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed multsum and discovered the below as its top functions. This is intended to give you an instant insight into multsum implemented functionality, and help decide if they suit your requirements.
            • This function transforms a tfidf - indexed matrix
            • Count the number of occurrences of a term in a matrix
            • Get the content of a document
            Get all kandi verified functions for this library.

            multsum Key Features

            No Key Features are available at this moment for multsum.

            multsum Examples and Code Snippets

            No Code Snippets are available at this moment for multsum.

            Community Discussions

            QUESTION

            Are there any performance benefits in C# discards?
            Asked 2019-Dec-18 at 23:50

            Consider this code:

            ...

            ANSWER

            Answered 2019-Dec-18 at 23:50

            If I use discard instead of a variable name, does it have performance benefit? eg. by reducing assignment operations.

            In your particular case it is unlikely that there would be a benefit in performance. The tuple that is returned is assigned to temporary storage; you've just not given a name to one part of that storage.

            Now, if you had an expression that had discards that were entire values, not fragments of a tuple, then the compiler and the jitter can be smart about not allocating any storage on the short-term pool for the result, or re-using existing storage that was already allocated. Note that by "short-term pool" I effectively mean "activation record on the stack" or "registers". This could, in theory, lead to better register allocation or smaller frames (and therefore better locality of reference) and that in turn could save you entire nanoseconds.

            Nano-optimizations are generally not worth it; there is almost always a better bang-for-buck performance problem to attack. But if you think it might be relevant for your scenario, measure it and see. That is the only way to know if there is a relevant performance difference. Get out a nano-scale stopwatch, run the code both ways, and see which one is faster.

            The benefit you should be attempting to accrue by using discards is the "make my program easier to understand" benefit. Programmers are expensive; optimize for making your code easy for future programmers to read, understand and modify.

            Is there any way to write the MultSum smart enough so it doesn't calculate the discards!?

            Yes. Write your program in Haskell. Haskell will avoid performing calculations whose results are never used. C# is not such a language.

            Source https://stackoverflow.com/questions/59400410

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

            Vulnerabilities

            No vulnerabilities reported

            Install multsum

            You can download it from GitHub.
            You can use multsum 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

            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/olofmogren/multsum.git

          • CLI

            gh repo clone olofmogren/multsum

          • sshUrl

            git@github.com:olofmogren/multsum.git

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