online-summarizer | Online Summarization Algorithm for Twitter Streams
kandi X-RAY | online-summarizer Summary
kandi X-RAY | online-summarizer Summary
online-summarizer is a Python library. online-summarizer has no bugs, it has no vulnerabilities and it has low support. However online-summarizer build file is not available. You can download it from GitHub.
This code was developed to experiment with summarization techniques for the paper "Efficient Online Summarization of Microblogging Streams". This is academic code. It is duct tape code. It is not production code. Please use it only to understand concepts such as word graphs or lazy-updated decaying windows. Tweets are not included since this is not allowed by the Twitter TOS. The dataset can be reconstructed by querying the Twitter API using the tweet ids provided. If you have any questions about this code, please contact me [1] or check out the paper at EACL 2014 [2]. [1] [2]
This code was developed to experiment with summarization techniques for the paper "Efficient Online Summarization of Microblogging Streams". This is academic code. It is duct tape code. It is not production code. Please use it only to understand concepts such as word graphs or lazy-updated decaying windows. Tweets are not included since this is not allowed by the Twitter TOS. The dataset can be reconstructed by querying the Twitter API using the tweet ids provided. If you have any questions about this code, please contact me [1] or check out the paper at EACL 2014 [2]. [1] [2]
Support
Quality
Security
License
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Support
online-summarizer has a low active ecosystem.
It has 17 star(s) with 9 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
online-summarizer has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of online-summarizer is current.
Quality
online-summarizer has 0 bugs and 0 code smells.
Security
online-summarizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
online-summarizer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
online-summarizer 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.
Reuse
online-summarizer releases are not available. You will need to build from source code and install.
online-summarizer has no build file. You will be need to create the build yourself to build the component from source.
online-summarizer saves you 228 person hours of effort in developing the same functionality from scratch.
It has 558 lines of code, 22 functions and 5 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed online-summarizer and discovered the below as its top functions. This is intended to give you an instant insight into online-summarizer implemented functionality, and help decide if they suit your requirements.
- Calculate the word frequency
- Update the word frequency for the given word
- Increase word frequency
Get all kandi verified functions for this library.
online-summarizer Key Features
No Key Features are available at this moment for online-summarizer.
online-summarizer Examples and Code Snippets
No Code Snippets are available at this moment for online-summarizer.
Community Discussions
No Community Discussions are available at this moment for online-summarizer.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install online-summarizer
You can download it from GitHub.
You can use online-summarizer 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 online-summarizer 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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