text_based_depression | Source code for the paper

 by   RicherMans Python Version: v0.01 License: No License

kandi X-RAY | text_based_depression Summary

kandi X-RAY | text_based_depression Summary

text_based_depression is a Python library typically used in Internet of Things (IoT) applications. text_based_depression has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Source code for the paper "Text-based Depression Detection: What Triggers An Alert"
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              text_based_depression has a low active ecosystem.
              It has 18 star(s) with 5 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 12 months.
              text_based_depression has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of text_based_depression is v0.01

            kandi-Quality Quality

              text_based_depression has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              text_based_depression 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.

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              text_based_depression releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed text_based_depression and discovered the below as its top functions. This is intended to give you an instant insight into text_based_depression implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Create a loader
            • Parse the pooling function
            • Parse the given feature
            • Create a logger
            • Parse a yaml config file
            • Forward computation
            • Show the most common experiment
            • Read transcripts from root
            • Forward a forward model
            • Evaluate the model
            • Compute cosine loss
            • Convert a tar image to onehot image
            • Concatenate multiple features
            • Pad a tensor
            Get all kandi verified functions for this library.

            text_based_depression Key Features

            No Key Features are available at this moment for text_based_depression.

            text_based_depression Examples and Code Snippets

            No Code Snippets are available at this moment for text_based_depression.

            Community Discussions

            Trending Discussions on Internet of Things (IoT)

            QUESTION

            Display data from two json files in react native
            Asked 2020-May-17 at 23:55

            I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

            ...

            ANSWER

            Answered 2020-May-17 at 23:55

            The new object to get params in React Navigation 5 is:

            Source https://stackoverflow.com/questions/61859411

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

            Vulnerabilities

            No vulnerabilities reported

            Install text_based_depression

            You can download it from GitHub.
            You can use text_based_depression 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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            gh repo clone RicherMans/text_based_depression

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            git@github.com:RicherMans/text_based_depression.git

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