Jiagu | Jiagu deep learning natural language processing tools | Natural Language Processing library

by ownthink Python Version: 0.2.3 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Jiagu Summary

Jiagu is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. Jiagu has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install Jiagu' or download it from GitHub, PyPI.

Jiagu deep learning natural language processing tools knowledge graph relation extraction Chinese word segmentation part-of-speech tagging named entity recognition sentiment analysis new word discovery keywords text summarization text clustering

Support

Quality

Security

License

Reuse

Support

Jiagu has a medium active ecosystem.

It has 2966 star(s) with 589 fork(s). There are 88 watchers for this library.

It had no major release in the last 12 months.

There are 15 open issues and 55 have been closed. On average issues are closed in 143 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Jiagu is 0.2.3

Quality

Jiagu has 0 bugs and 0 code smells.

Security

Jiagu has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Jiagu code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Jiagu 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

Jiagu releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can 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 Jiagu and discovered the below as its top functions. This is intended to give you an instant insight into Jiagu implemented functionality, and help decide if they suit your requirements.

Train a corpus
Train the model
Add a key to the dictionary
Create tagdict from sentences
Evaluate a file
Get feature information
Predict a list of words
Compute the probability of each word
Loads the probabilities from a file
Return the value of a key in the cache
Computes the rank of a weight map
Compute the degree of a weight graph
Check if two scores differ from old scores
Compute sentiment of text
Computes the classification for each word
Return a list of n words from text
Returns the knowledge of the given text
Load frequency from file
Remove all words that are not in the word2vec
Return the probability of a given vector
Predict words
Generate the word from a sentence
Build corpus from files
Summarize text
Update the feature
Load probabilities from a file
Calculate new word find

Get all kandi verified functions for this library.

Jiagu Key Features

No Key Features are available at this moment for Jiagu.

Jiagu Examples and Code Snippets

特别提醒,1.

Java

Lines of Code : 1

License : No License

Copy

java -jar jiagu.jar -importsign

Community Discussions

Trending Discussions on Jiagu

Obliterate Firebase from my Android Project

QUESTION

Obliterate Firebase from my Android Project

Asked 2017-Jul-12 at 16:18

I always get this error in my Android Monitor:

...

ANSWER

Answered 2017-Jul-12 at 16:18

Problem has been solved in the chat :

http://chat.stackoverflow.com/rooms/149021/discussion-between-arnaud-pradier-and-trondro-mulligan

Source https://stackoverflow.com/questions/45060699

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Jiagu

You can install using 'pip install Jiagu' or download it from GitHub, PyPI.
You can use Jiagu 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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