keras-text-summarization | Text summarization using seq2seq in Keras | Machine Learning library

by chen0040 Python Version: Current License: MIT

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kandi X-RAY | keras-text-summarization Summary

keras-text-summarization is a Python library typically used in Artificial Intelligence, Machine Learning, Keras, Neural Network applications. keras-text-summarization 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.

Text summarization using seq2seq in Keras

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keras-text-summarization has a low active ecosystem.

It has 261 star(s) with 123 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 15 open issues and 3 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of keras-text-summarization is current.

Quality

keras-text-summarization has 0 bugs and 0 code smells.

Security

keras-text-summarization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

keras-text-summarization code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

keras-text-summarization 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

keras-text-summarization 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.

keras-text-summarization saves you 784 person hours of effort in developing the same functionality from scratch.

It has 1804 lines of code, 101 functions and 28 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed keras-text-summarization and discovered the below as its top functions. This is intended to give you an instant insight into keras-text-summarization implemented functionality, and help decide if they suit your requirements.

Train the model
Transforms the target sequence into a numpy array
Generate a batch of training data
Transform input texts into words
Fit the model
Generate a batch
Transform a list of texts into words
Given a list of texts split the target text
Plot a history plot
Creates the history plot for the given model
Calculate the summary for the input_text
Load weights from a file
Return a list of predicted words
Fit text based on input
Compute the summary for the prediction
Summarize the input_text
Summarize the prediction
Summarize a sentence
Load weights from file

Get all kandi verified functions for this library.

keras-text-summarization Key Features

No Key Features are available at this moment for keras-text-summarization.

keras-text-summarization Examples and Code Snippets

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Community Discussions

Trending Discussions on keras-text-summarization

No module named 'keras_text_summarization' when running keras-text-summarization

QUESTION

No module named 'keras_text_summarization' when running keras-text-summarization

Asked 2019-Mar-30 at 00:21

I have cloned keras-text-summarization, then was running according to README.md

python seq2seq_train.py and I get:

...

ANSWER

Answered 2018-Jul-04 at 12:45

The folder keras_text_summarization was outside the demo package. So as it appears the documentation is incorrect. I needed the either to:

Install the keras_text_summarization by running setup.py on parent folder.
Move keras_text_summarization inside the demo folder.

I ran step 2 and it worked (moved keras_text_summarization inside the demo folder).

This means no external modules were missing and condo installation was perfect.

Source https://stackoverflow.com/questions/51157258

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

Vulnerabilities

No vulnerabilities reported

Install keras-text-summarization

You can download it from GitHub.
You can use keras-text-summarization 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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