GenderGapTracker | scrape articles and analyze proportion
kandi X-RAY | GenderGapTracker Summary
kandi X-RAY | GenderGapTracker Summary
GenderGapTracker is a Python library. GenderGapTracker has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
Status: V5.3 (Code provided as-is; only sporadic updates expected).
Status: V5.3 (Code provided as-is; only sporadic updates expected).
Support
Quality
Security
License
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Support
GenderGapTracker has a low active ecosystem.
It has 30 star(s) with 9 fork(s). There are 6 watchers for this library.
It had no major release in the last 12 months.
GenderGapTracker has no issues reported. There are 14 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of GenderGapTracker is V6.1
Quality
GenderGapTracker has no bugs reported.
Security
GenderGapTracker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
GenderGapTracker 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.
Reuse
GenderGapTracker releases are available to install and integrate.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed GenderGapTracker and discovered the below as its top functions. This is intended to give you an instant insight into GenderGapTracker implemented functionality, and help decide if they suit your requirements.
- Merge authors
- Gets a list of gender information
- Merge the names of namedtuples
- Preprocess text
- Merge two ne_dicts
- Build the layout for the HTML
- Convert num to string
- Convert date data to pandas DataFrame
- Get a list of document ids from the database
- Evaluate quote extraction
- Evaluate the quotes between two files
- Process a document
- Get daily counts for daily articles
- Get top sources by gender
- Updates the female gender bars
- Update a DataTable with the information for each person
- Update source table data
- Update the bars of male sources
- Compute the similarity between two source files
- Plots the gender bar plot
- Browse through text files
- Preprocess a text
- Updates the heatmap with the given data
- Plot the word cloud for each topic
- Runs pre - trained prediction
- Updates the heat map for the gender heatmap
- Train NLP pipeline
- Evaluate between two documents
Get all kandi verified functions for this library.
GenderGapTracker Key Features
No Key Features are available at this moment for GenderGapTracker.
GenderGapTracker Examples and Code Snippets
No Code Snippets are available at this moment for GenderGapTracker.
Community Discussions
No Community Discussions are available at this moment for GenderGapTracker.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install GenderGapTracker
You can download it from GitHub.
You can use GenderGapTracker 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 GenderGapTracker 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 more information about the research methodology and for questions regarding collaboration, please contact:. Maite Taboada mtaboada@sfu.ca Director, Discourse Processing Lab Simon Fraser University.
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