CanvasStoryArchive | Django app that 's going to do something cool
kandi X-RAY | CanvasStoryArchive Summary
kandi X-RAY | CanvasStoryArchive Summary
CanvasStoryArchive is a Python library. CanvasStoryArchive has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
how do we make story archives more useful with smart uses of structured data and text mining?. journalists and web producers know that the archives contain valuable context for current stories, but many avoid diving deep into the archives to find it. why? often, those archives are in complex, proprietary systems that offer little more than a search box. more often, the person searching for that context doesn't have the time to dive through dozens or hundreds of stories to find the ones that are the most relevant. what if a simple algorithm could make the first pass for them? then the journalist just has to pick the best stories for context using human judgement and news organizations can capture some of the value now trapped in those archives. most news organization have some combination of human and machine driven tagging for stories. then, on pages, those tags generate related story lists. we think those are inadequate. often the related stories are not quite right, or link to incremental updates to bigger stories, missing the bigger more contextual stories. this project devised a simple algorithm for relating stories using two dimensions of overlap in noun phrases between stories to determine
how do we make story archives more useful with smart uses of structured data and text mining?. journalists and web producers know that the archives contain valuable context for current stories, but many avoid diving deep into the archives to find it. why? often, those archives are in complex, proprietary systems that offer little more than a search box. more often, the person searching for that context doesn't have the time to dive through dozens or hundreds of stories to find the ones that are the most relevant. what if a simple algorithm could make the first pass for them? then the journalist just has to pick the best stories for context using human judgement and news organizations can capture some of the value now trapped in those archives. most news organization have some combination of human and machine driven tagging for stories. then, on pages, those tags generate related story lists. we think those are inadequate. often the related stories are not quite right, or link to incremental updates to bigger stories, missing the bigger more contextual stories. this project devised a simple algorithm for relating stories using two dimensions of overlap in noun phrases between stories to determine
Support
Quality
Security
License
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Support
CanvasStoryArchive has a low active ecosystem.
It has 6 star(s) with 4 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
CanvasStoryArchive has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of CanvasStoryArchive is current.
Quality
CanvasStoryArchive has no bugs reported.
Security
CanvasStoryArchive has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
CanvasStoryArchive is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
CanvasStoryArchive releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed CanvasStoryArchive and discovered the below as its top functions. This is intended to give you an instant insight into CanvasStoryArchive implemented functionality, and help decide if they suit your requirements.
- Return a list of matching entities
- Return a list of stories related to the given entity
- Loop through a list of words and find matching entities
- Gets the color for a given entity type
- Get matching entities
Get all kandi verified functions for this library.
CanvasStoryArchive Key Features
No Key Features are available at this moment for CanvasStoryArchive.
CanvasStoryArchive Examples and Code Snippets
No Code Snippets are available at this moment for CanvasStoryArchive.
Community Discussions
No Community Discussions are available at this moment for CanvasStoryArchive.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CanvasStoryArchive
You can download it from GitHub.
You can use CanvasStoryArchive 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.
You can use CanvasStoryArchive 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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