dwtc-geo-parser | repository contains the code for the Geoparser and Geocoder
kandi X-RAY | dwtc-geo-parser Summary
kandi X-RAY | dwtc-geo-parser Summary
dwtc-geo-parser is a Python library. dwtc-geo-parser has no bugs, it has no vulnerabilities and it has low support. However dwtc-geo-parser build file is not available. You can download it from GitHub.
This repository contains the code for the Geoparser and Geocoder for the Dresden Web Table Corpus. It is able to classify geo entity columns for tables.
This repository contains the code for the Geoparser and Geocoder for the Dresden Web Table Corpus. It is able to classify geo entity columns for tables.
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dwtc-geo-parser has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
dwtc-geo-parser has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of dwtc-geo-parser is current.
Quality
dwtc-geo-parser has no bugs reported.
Security
dwtc-geo-parser has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
dwtc-geo-parser 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.
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dwtc-geo-parser releases are not available. You will need to build from source code and install.
dwtc-geo-parser has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed dwtc-geo-parser and discovered the below as its top functions. This is intended to give you an instant insight into dwtc-geo-parser implemented functionality, and help decide if they suit your requirements.
- Create a test dump
- Detect the headers of a table
- Takes a table and returns a list of dictionaries and a list of dictionaries
- Fetch a column from the database
- Returns the count for a given category
- Check if a table has a weight
- Process the results from the database
- Generate table HTML
- Read a template file
- Detect the row similarity in a table
- Return all empty cols in table
- Return a list of empty rows
- Calculate true positives of a human classification
- Returns a dictionary of GeoColumns
- Write geonames
- Creates an insert query string
- Generate HTML document
- Determine the coverage of a given column
- Show information about the table
- Determine whether the table contains a valid string
- Generate javascript code
- Determine whether the table quality of the given table
- Return the count for a given category
- Get the categories from the coverage tree
- Process geo names
- Create an evaluation template for a given dataset
- Perform a single column lookup
- Processes a table and returns a list of dictionaries
- Add a result to the database
- Generate error table
- Load aliases from a GeoJSON file
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dwtc-geo-parser Key Features
No Key Features are available at this moment for dwtc-geo-parser.
dwtc-geo-parser Examples and Code Snippets
No Code Snippets are available at this moment for dwtc-geo-parser.
Community Discussions
No Community Discussions are available at this moment for dwtc-geo-parser.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dwtc-geo-parser
You need to install following python packages:. Install: pip3 install redis ujson pyenchant. In addition you need redis and sqlite3. To run the code you have to install redis.io and start a redis server. After that you have to create the GeoNames index by running. Redis will save a backup of the index in dwtc-geo-parser folder. The next time you start a redis server in this location the backup will be loded (which is much faster than recreating the index from allCountries.txt.gz). To create the Wikidata class index run the wikidata_extrator. This can take a while.
redis
ujson
pyenchant
You can test the geoparsing and geocoding by running:.
redis
ujson
pyenchant
You can test the geoparsing and geocoding by running:.
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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