Automatically-extract-news-person-speech | 新闻言论观点提取
kandi X-RAY | Automatically-extract-news-person-speech Summary
kandi X-RAY | Automatically-extract-news-person-speech Summary
Automatically-extract-news-person-speech is a Python library. Automatically-extract-news-person-speech has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
新闻言论观点提取
新闻言论观点提取
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Quality
Security
License
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Support
Automatically-extract-news-person-speech has a low active ecosystem.
It has 7 star(s) with 5 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Automatically-extract-news-person-speech has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Automatically-extract-news-person-speech is current.
Quality
Automatically-extract-news-person-speech has 0 bugs and 0 code smells.
Security
Automatically-extract-news-person-speech has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Automatically-extract-news-person-speech code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Automatically-extract-news-person-speech is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
Automatically-extract-news-person-speech releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 946 lines of code, 88 functions and 20 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Automatically-extract-news-person-speech and discovered the below as its top functions. This is intended to give you an instant insight into Automatically-extract-news-person-speech implemented functionality, and help decide if they suit your requirements.
- Return True if the sentence has a similarity threshold
- Convert sentences to indices
- Predict on a sentence
- Get the sequence of words in s
- Compute npc components
- Prepare the data for processing
- Convert sequence to weight
- Compute the similarity between two sentences
- Embed sentence embedding
- R Remove PC function from X
- Compute weighted average weighted average
- Embedding function
- Computes the similarity between two images
- Remove punctuation from a string
- Load the words from a file
- Get related words
- Generate say words
- Return True if two strings are the next sentence similarity
Get all kandi verified functions for this library.
Automatically-extract-news-person-speech Key Features
No Key Features are available at this moment for Automatically-extract-news-person-speech.
Automatically-extract-news-person-speech Examples and Code Snippets
No Code Snippets are available at this moment for Automatically-extract-news-person-speech.
Community Discussions
No Community Discussions are available at this moment for Automatically-extract-news-person-speech.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Automatically-extract-news-person-speech
You can download it from GitHub.
You can use Automatically-extract-news-person-speech 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 Automatically-extract-news-person-speech 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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