News-classification | News classification system & amp ; rumor processing system | Machine Learning library

 by   sileixinhua Python Version: Current License: No License

kandi X-RAY | News-classification Summary

kandi X-RAY | News-classification Summary

News-classification is a Python library typically used in Artificial Intelligence, Machine Learning applications. News-classification has no bugs, it has no vulnerabilities and it has low support. However News-classification build file is not available. You can download it from GitHub.

News classification system & rumor processing system
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            kandi-support Support

              News-classification has a low active ecosystem.
              It has 70 star(s) with 39 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              News-classification has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of News-classification is current.

            kandi-Quality Quality

              News-classification has 0 bugs and 95 code smells.

            kandi-Security Security

              News-classification has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              News-classification code analysis shows 0 unresolved vulnerabilities.
              There are 5 security hotspots that need review.

            kandi-License License

              News-classification 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

              News-classification releases are not available. You will need to build from source code and install.
              News-classification has no build file. You will be need to create the build yourself to build the component from source.
              News-classification saves you 190 person hours of effort in developing the same functionality from scratch.
              It has 469 lines of code, 22 functions and 8 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed News-classification and discovered the below as its top functions. This is intended to give you an instant insight into News-classification implemented functionality, and help decide if they suit your requirements.
            • Processes text files
            • Classifier for text classification .
            • Make all words in train datas
            • Extract text features from train data .
            • returns a list of all words in the list
            • Make a set of words from a text file .
            Get all kandi verified functions for this library.

            News-classification Key Features

            No Key Features are available at this moment for News-classification.

            News-classification Examples and Code Snippets

            No Code Snippets are available at this moment for News-classification.

            Community Discussions

            QUESTION

            Unable to save model architecture (bilstm + attention)
            Asked 2020-Jun-22 at 06:58

            I am working on a multi-label text classification problem. I am trying to add attention mechanism with bilstm model. The attention mechanism code is taken from here. I am not able to save the model architecture and getting an error mentioned below. My tensorflow version -2.2.0

            ...

            ANSWER

            Answered 2020-Jun-22 at 06:58

            This is a TensorFlow feature to notify you that it does not know how to reconstruct your layers since it does not know how to process your configs. Here is a quote from tensorflow's document:

            get_config()

            Returns the config of the layer.

            A layer config is a Python dictionary (serializable) containing the configuration of a layer. The same layer can be reinstantiated later (without its trained weights) from this configuration.

            The config of a layer does not include connectivity information, nor the layer class name. These are handled by Network (one layer of abstraction above).

            To solve the problem, all you need is to create a get_config method corresponding to __init__ in your class to instruct TensorFlow how to reinstantiate your layer.

            Source https://stackoverflow.com/questions/62471102

            QUESTION

            How to store this JSON file in a Pandas data frame?
            Asked 2019-Apr-18 at 10:01

            I have never worked with JSON files before. I have this News Classification dataset. I wanted to get this in a Pandas dataframe. It looks like this:

            ...

            ANSWER

            Answered 2019-Apr-18 at 09:15

            I believe you have to read this file in for each line, as the way you have it, isn't a valid json format.

            So to read that in:

            Source https://stackoverflow.com/questions/55742711

            QUESTION

            Not able to load keras trained model
            Asked 2019-Apr-09 at 12:28

            I am using following code to train HAN Network. Code Link

            I have trained the model successfully but when I tried to load the model using keras load_model it gives me following error- Unknown layer: AttentionWithContext

            ...

            ANSWER

            Answered 2019-Apr-09 at 12:28

            Add the following function in the AttentionWithContext.py file:

            Source https://stackoverflow.com/questions/55218234

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

            Vulnerabilities

            No vulnerabilities reported

            Install News-classification

            You can download it from GitHub.
            You can use News-classification 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/sileixinhua/News-classification.git

          • CLI

            gh repo clone sileixinhua/News-classification

          • sshUrl

            git@github.com:sileixinhua/News-classification.git

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