text-summarizer | Summarizes Text | Natural Language Processing library

by ajhalthor Java Version: Current License: No License

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

kandi X-RAY | text-summarizer Summary

text-summarizer is a Java library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Tensorflow applications. text-summarizer has no bugs, it has no vulnerabilities and it has low support. However text-summarizer build file is not available. You can download it from GitHub.

Summarizes Text

Support

Quality

Security

License

Reuse

Support

text-summarizer has a low active ecosystem.

It has 13 star(s) with 9 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 842 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of text-summarizer is current.

Quality

text-summarizer has 0 bugs and 0 code smells.

Security

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

text-summarizer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

text-summarizer 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

text-summarizer releases are not available. You will need to build from source code and install.

text-summarizer 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.

text-summarizer saves you 89 person hours of effort in developing the same functionality from scratch.

It has 229 lines of code, 19 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

The main method for testing
Extracts a sentence from the current context
Initialize data
Computes the intersection matrix
Groups sentences into paragraph
Compute the dictionary
Creates the content summary
Returns the count of words in sentence
Returns the number of common words
Prints the statistics about the corpus
Print summary
Print sentences to standard out
Print the intersection matrix
Prints the dictionary

Get all kandi verified functions for this library.

text-summarizer Key Features

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

text-summarizer Examples and Code Snippets

No Code Snippets are available at this moment for text-summarizer.

Community Discussions

Trending Discussions on text-summarizer

ValueError: Input 0 is incompatible with layer layer_1: expected ndim=3, found ndim=2

QUESTION

ValueError: Input 0 is incompatible with layer layer_1: expected ndim=3, found ndim=2

Asked 2018-Jan-22 at 07:10

I am trying to build text-summarizer using word Embeddings and encoder-decoder architecture. This is my first shot at Keras and I am not able to understand why layer_1 requires ndim=3. I am not able to figure this out. Below is my code:

...

ANSWER

Answered 2018-Jan-22 at 07:10

Your problem lies in these lines:

Source https://stackoverflow.com/questions/48373774

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

Vulnerabilities

No vulnerabilities reported

Install text-summarizer

You can download it from GitHub.
You can use text-summarizer like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the text-summarizer component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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