HowDoPeopleDescribeLocations | people describe locations during a natural disaster
kandi X-RAY | HowDoPeopleDescribeLocations Summary
kandi X-RAY | HowDoPeopleDescribeLocations Summary
HowDoPeopleDescribeLocations is a Python library. HowDoPeopleDescribeLocations has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However HowDoPeopleDescribeLocations build file is not available. You can download it from GitHub.
Social media platforms, such as Twitter, have been increasingly used by people during natural disasters to share information and request for help. Hurricane Harvey was a category 4 hurricane that devastated Houston, Texas, USA in August 2017 and caused catastrophic flooding in the Houston metropolitan area. Hurricane Harvey also witnessed the widespread use of social media by the general public in response to this major disaster, and geographic locations are key information pieces described in many of the social media messages. A geoparsing system, or a geoparser, can be utilized to automatically extract and locate the described locations, which can help first responders reach the people in need. While a number of geoparsers have already been developed, it is unclear how effective they are in recognizing and geo-locating the locations described by people during natural disasters. To fill this gap, this work seeks to understand how people describe locations during a natural disaster by analyzing a sample of tweets posted during Hurricane Harvey. We then identify the limitations of existing geoparsers in processing these tweets, and discuss possible approaches to overcoming these limitations.
Social media platforms, such as Twitter, have been increasingly used by people during natural disasters to share information and request for help. Hurricane Harvey was a category 4 hurricane that devastated Houston, Texas, USA in August 2017 and caused catastrophic flooding in the Houston metropolitan area. Hurricane Harvey also witnessed the widespread use of social media by the general public in response to this major disaster, and geographic locations are key information pieces described in many of the social media messages. A geoparsing system, or a geoparser, can be utilized to automatically extract and locate the described locations, which can help first responders reach the people in need. While a number of geoparsers have already been developed, it is unclear how effective they are in recognizing and geo-locating the locations described by people during natural disasters. To fill this gap, this work seeks to understand how people describe locations during a natural disaster by analyzing a sample of tweets posted during Hurricane Harvey. We then identify the limitations of existing geoparsers in processing these tweets, and discuss possible approaches to overcoming these limitations.
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HowDoPeopleDescribeLocations has a low active ecosystem.
It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
HowDoPeopleDescribeLocations has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of HowDoPeopleDescribeLocations is current.
Quality
HowDoPeopleDescribeLocations has no bugs reported.
Security
HowDoPeopleDescribeLocations has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
HowDoPeopleDescribeLocations is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
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HowDoPeopleDescribeLocations releases are not available. You will need to build from source code and install.
HowDoPeopleDescribeLocations 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.
Top functions reviewed by kandi - BETA
kandi has reviewed HowDoPeopleDescribeLocations and discovered the below as its top functions. This is intended to give you an instant insight into HowDoPeopleDescribeLocations implemented functionality, and help decide if they suit your requirements.
- Extract locations from text .
Get all kandi verified functions for this library.
HowDoPeopleDescribeLocations Key Features
No Key Features are available at this moment for HowDoPeopleDescribeLocations.
HowDoPeopleDescribeLocations Examples and Code Snippets
No Code Snippets are available at this moment for HowDoPeopleDescribeLocations.
Community Discussions
No Community Discussions are available at this moment for HowDoPeopleDescribeLocations.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install HowDoPeopleDescribeLocations
You can download it from GitHub.
You can use HowDoPeopleDescribeLocations 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 HowDoPeopleDescribeLocations 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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