HotNewsAnalysis | Using Text Mining Technology to Analyze News Hotspots
kandi X-RAY | HotNewsAnalysis Summary
kandi X-RAY | HotNewsAnalysis Summary
HotNewsAnalysis is a Python library. HotNewsAnalysis has no bugs, it has no vulnerabilities and it has low support. However HotNewsAnalysis build file is not available. You can download it from GitHub.
Using Text Mining Technology to Analyze News Hotspots and Concerned Issues
Using Text Mining Technology to Analyze News Hotspots and Concerned Issues
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Quality
Security
License
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Support
HotNewsAnalysis has a low active ecosystem.
It has 128 star(s) with 43 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of HotNewsAnalysis is current.
Quality
HotNewsAnalysis has 0 bugs and 0 code smells.
Security
HotNewsAnalysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
HotNewsAnalysis code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
HotNewsAnalysis 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
HotNewsAnalysis releases are not available. You will need to build from source code and install.
HotNewsAnalysis 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.
HotNewsAnalysis saves you 517 person hours of effort in developing the same functionality from scratch.
It has 1214 lines of code, 94 functions and 14 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed HotNewsAnalysis and discovered the below as its top functions. This is intended to give you an instant insight into HotNewsAnalysis implemented functionality, and help decide if they suit your requirements.
- Show the details of the top hot
- Create a tk editor
- Cluster title corpus
- Preprocess title data
- Do crawler
- Crawler crawler
- Run xinhuanet
- Returns the latest news
- Cluster a dataframe
- Preprocesses the content
- Cleans the content of content
- R Remove blank lines
- Get the latest news for a given template
- Get the latest content of a network
- Wrapper for threaded crawler
- Load a news file
- This crawler crawler crawler
- Convert a document to text
- Returns a list of all words in list1
- Loads news data
- Get the latest news
- Get the most common words in a list
- Show word library
- Show the most similar words in the model
- Extract keywords from the results
- Create text editor
- Download the latest news
- Get the latest news from Sina
Get all kandi verified functions for this library.
HotNewsAnalysis Key Features
No Key Features are available at this moment for HotNewsAnalysis.
HotNewsAnalysis Examples and Code Snippets
No Code Snippets are available at this moment for HotNewsAnalysis.
Community Discussions
No Community Discussions are available at this moment for HotNewsAnalysis.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install HotNewsAnalysis
You can download it from GitHub.
You can use HotNewsAnalysis 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 HotNewsAnalysis 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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