ai-driven-social-media-dashboard | Driven Social Media Dashboard solutions | AWS library

 by   awslabs Python Version: Current License: Non-SPDX

kandi X-RAY | ai-driven-social-media-dashboard Summary

kandi X-RAY | ai-driven-social-media-dashboard Summary

ai-driven-social-media-dashboard is a Python library typically used in Cloud, AWS, Amazon S3 applications. ai-driven-social-media-dashboard has no bugs, it has no vulnerabilities and it has low support. However ai-driven-social-media-dashboard build file is not available and it has a Non-SPDX License. You can download it from GitHub.

The AI-Driven Social Media Dashboard solutions provides customers with a CloudFormation template that is easy to deploy to use Amazon Translate, Amazon Comprehend, Amazon Kinesis, Amazon Athena, and Amazon QuickSight to build a natural-language-processing (NLP)-powered social media dashboard for tweets.
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              ai-driven-social-media-dashboard has a low active ecosystem.
              It has 26 star(s) with 21 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ai-driven-social-media-dashboard is current.

            kandi-Quality Quality

              ai-driven-social-media-dashboard has no bugs reported.

            kandi-Security Security

              ai-driven-social-media-dashboard has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              ai-driven-social-media-dashboard has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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              ai-driven-social-media-dashboard releases are not available. You will need to build from source code and install.
              ai-driven-social-media-dashboard has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            ai-driven-social-media-dashboard Key Features

            No Key Features are available at this moment for ai-driven-social-media-dashboard.

            ai-driven-social-media-dashboard Examples and Code Snippets

            No Code Snippets are available at this moment for ai-driven-social-media-dashboard.

            Community Discussions

            Trending Discussions on ai-driven-social-media-dashboard

            QUESTION

            Bucket not found error in lambda function
            Asked 2020-Oct-18 at 09:57

            I am using a cloudformation template that I found here and it is working as expected...

            https://aws.amazon.com/solutions/implementations/ai-driven-social-media-dashboard/

            It has a following section where the lambda function code is defined.

            ...

            ANSWER

            Answered 2020-Oct-18 at 09:30

            You shouldn't be changing them, as these are buckets and objects hosted by AWS for this template.

            If you want to host the lambda code yourself, the instructions on how to do it are given in the solution's github page in Building Lambda Package.

            Source https://stackoverflow.com/questions/64411340

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

            Vulnerabilities

            No vulnerabilities reported

            Install ai-driven-social-media-dashboard

            You can download it from GitHub.
            You can use ai-driven-social-media-dashboard 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.

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            git@github.com:awslabs/ai-driven-social-media-dashboard.git

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