classify-text | proof of concept of text classification with mimir and brain | Dataset library

 by   techfort JavaScript Version: Current License: No License

kandi X-RAY | classify-text Summary

kandi X-RAY | classify-text Summary

classify-text is a JavaScript library typically used in Artificial Intelligence, Dataset, Deep Learning, Neural Network applications. classify-text has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

proof of concept of text classification with mimir and brain

            kandi-support Support

              classify-text has a low active ecosystem.
              It has 36 star(s) with 5 fork(s). There are no watchers for this library.
              It had no major release in the last 6 months.
              classify-text has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of classify-text is current.

            kandi-Quality Quality

              classify-text has 0 bugs and 0 code smells.

            kandi-Security Security

              classify-text has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              classify-text code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

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

            kandi-Reuse Reuse

              classify-text releases are not available. You will need to build from source code and install.

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            classify-text Key Features

            No Key Features are available at this moment for classify-text.

            classify-text Examples and Code Snippets

            No Code Snippets are available at this moment for classify-text.

            Community Discussions


            some fields get no value when converting the Google Cloud result to json using Protobuf
            Asked 2018-Mar-08 at 10:42

            When I am trying to convert the message output from Google Cloud Natural Language API to json using protobuf, the sentiment and magnitude fields end up with no value at all. If I don't use it and just print them they will have values. How can this be fixed? I tried it with both json_results = MessageToJson(result, preserving_proto_field_name=True) and json_results = MessageToJson(result), and I am not sure why this phenomenon happens.

            Here's an example resulting file:



            Answered 2018-Mar-06 at 23:49

            When the numerical values are zero, they get no field in the json. seems there is no fix to this yet. But you can check if these fields don't exist, it means their values is zero. Here's an example in which some of the score/magnitudes are zero hence don't exist in the json file and the rest do:



            Create a dictionary of all distinct words from a list of string C#
            Asked 2017-Aug-17 at 13:01

            I was looking at a tutorial about data mining algorithms and couldn't quite copy a line of code from the tutorial to generate my own "vocabulary" variable (as the tutorial called it).

            Basically the code on the tutorial page is:



            Answered 2017-Aug-17 at 12:57
             private static IEnumerable GetWords(string x)
                    return x.Split(new[] { ' ', '\t' }, StringSplitOptions.RemoveEmptyEntries);


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


            No vulnerabilities reported

            Install classify-text

            You can download it from GitHub.


            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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