text-summarization | Python code to automatically produce

 by   EdCo95 Python Version: Current License: No License

kandi X-RAY | text-summarization Summary

kandi X-RAY | text-summarization Summary

text-summarization is a Python library. text-summarization has no bugs, it has no vulnerabilities and it has low support. However text-summarization build file is not available. You can download it from GitHub.

Python code to automatically produce a summary of a piece of text.
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            kandi-support Support

              text-summarization has a low active ecosystem.
              It has 11 star(s) with 10 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              text-summarization has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of text-summarization is current.

            kandi-Quality Quality

              text-summarization has 0 bugs and 0 code smells.

            kandi-Security Security

              text-summarization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              text-summarization code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              text-summarization does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              text-summarization releases are not available. You will need to build from source code and install.
              text-summarization has no build file. You will be need to create the build yourself to build the component from source.
              text-summarization saves you 248 person hours of effort in developing the same functionality from scratch.
              It has 604 lines of code, 78 functions and 19 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed text-summarization and discovered the below as its top functions. This is intended to give you an instant insight into text-summarization implemented functionality, and help decide if they suit your requirements.
            • Calculate the metrics for each sentence .
            • Count the number of words in the article .
            • Generate a summary for the article .
            • Returns the contents of the file as a string .
            • Opens the contents of the file .
            • Set the metric calculator .
            • Read common words .
            • Calculate the metric for each sentence .
            • Return the summary percentage of results .
            • getter for summarizer
            Get all kandi verified functions for this library.

            text-summarization Key Features

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

            text-summarization Examples and Code Snippets

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

            Community Discussions

            QUESTION

            R: Error in textrank_sentences(data = article_sentences, terminology = article_words) : nrow(data) > 1 is not TRUE
            Asked 2021-Apr-07 at 05:11

            I am using the R programming language. I am trying to learn how to summarize text articles by using the following website: https://www.hvitfeldt.me/blog/tidy-text-summarization-using-textrank/

            As per the instructions, I copied the code from the website (I used some random PDF I found online):

            ...

            ANSWER

            Answered 2021-Apr-07 at 05:11

            The link that you shared reads the data from a webpage. div[class="padded"] is specific to the webpage that they were reading. It will not work for any other webpage nor the pdf from which you are trying to read the data. You can use pdftools package to read data from pdf.

            Source https://stackoverflow.com/questions/66979242

            QUESTION

            Using Transformer for Text-Summarization
            Asked 2020-Oct-25 at 21:39

            I am using huggingface transformer models for text-summarization. Currently I am testing different models such as T5 and Pegasus. Now these models were trained for summarizing Big Texts into very short like a maximum of two sentences. Now I have the task, that I want summarizations, that are about half the size of the text, ergo the generated summaries are too small for my purpose.

            My question now is, if there is a way to tell the model that another sentence came before? Kind of similar to the logic inside stateful RNNs (although I know they work completly different). If yes, I could summarize small windows over the sentences always with the information which content came before.

            Is that just a thing of my mind? I cant believe that I am the only one, who wants to create shorter summaries, but not only 1 or two sentence long ones.

            Thank you

            ...

            ANSWER

            Answered 2020-Oct-25 at 21:39

            Why not transfer learning? Train them on your specific texts and summaries.

            I trained T5 on specific limited text over 5 epoch and got very good results. I adopted the code from here to my needs https://github.com/patil-suraj/exploring-T5/blob/master/t5_fine_tuning.ipynb

            Let me know if you have a specific training questions.

            Source https://stackoverflow.com/questions/63904821

            QUESTION

            Text summary in R for multiple rows
            Asked 2020-Oct-03 at 16:02

            I have a set of short text files that I was able to combine into one datatest so that each file is in a row.

            I am trying to summarize the content using the LSAfun package using the generic function argument genericSummary(text,k,split=c(".","!","?"),min=5,breakdown=FALSE,...)

            This works very well for single text entry, however it does not in my case. In the package explanation it says that the text input should be "A character vector of length(text) = 1 specifiying the text to be summarized".

            Please see this example

            ...

            ANSWER

            Answered 2020-Oct-03 at 16:02

            Check class(dd$text). It's a factor, which is not a character.

            The following works:

            Source https://stackoverflow.com/questions/64185994

            QUESTION

            Error Expected object of device type cuda but got device type cpu for argument #1 'self' in call to _th_index_select
            Asked 2020-Aug-02 at 01:50

            I have the following code taken directly from here with some pretty little modifications:

            ...

            ANSWER

            Answered 2020-Aug-02 at 01:50

            Try explicitly moving your model to the GPU.

            Source https://stackoverflow.com/questions/63211463

            QUESTION

            TypeError: 'NoneType' object is not iterable - text summarisation with keras
            Asked 2019-Aug-14 at 14:43

            I am new to machine learning, and I am trying to work my way through a tutorial for text summarization using Keras.

            I have reached the point of vectorizing the data, however I am getting an error, and I have tried everything I can myself. I really would like to get this program working, and was hoping someone could shed some light into why it is giving me this error and how I can fix it. I did look at previous posts, but none have helped so far, thanks. Here is my code:

            ...

            ANSWER

            Answered 2019-Aug-12 at 15:29

            It seems like at least one of your story dictionaries does not have a key-value pair for the key 'highlights'. If this is only true for certain stories, you can simply check if there is a NoneType before iterating. If this is true for all stories, there might be a discrepancy between your code and the data you are working with.

            Also, I believe there is an indentation error (might just be wrong SO formatting), but I believe the code after target_text = highlight should be indented once more to the right.

            Source https://stackoverflow.com/questions/57462540

            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:

            1. Install the keras_text_summarization by running setup.py on parent folder.
            2. 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

            QUESTION

            SyntaxError: invalid syntax with variable annotation
            Asked 2018-Jul-08 at 13:16

            I have installed visual studio code and code runner extension. I then have this piece of code:

            ...

            ANSWER

            Answered 2018-Jul-06 at 06:22

            Note: the following answer assumes you are on the correct version (3.6+), if not: simply, variable annotation isn't supported on your current version of Python.

            The problem may seem like the type annotation is causing the SyntaxError, but another very plausible possibility is that there is an unclosed parenthesis or a unclosed something in the lines preceding. Since in the docs, it said:

            The parser repeats the offending line and displays a little ‘arrow’ pointing at the earliest point in the line where the error was detected. The error is caused by (or at least detected at) the token preceding the arrow

            (emphasis mine)

            The parser can only detect an unclosed bracket when a token that is invalid in that context is given. Since brackets and parenthesis can carry through multiple lines (which means EOL wouldn't be raised), and text is a valid variable identifier, which leaves only that colons aren't allowed in brackets or parentheses (excepted when it's used as an parameter, which also accepts type annotation).

            Here's an reproducible example of your code hosted on tio.run (the SE code-golf compiler):

            https://tio.run/##K6gsycjPM/7/X4OrJLWixEqhuKRIwVZBXf3/fwA

            Source https://stackoverflow.com/questions/51203670

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

            Vulnerabilities

            No vulnerabilities reported

            Install text-summarization

            You can download it from GitHub.
            You can use 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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            gh repo clone EdCo95/text-summarization

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