nlp-tutorial | Tutorial : Natural Language Processing in Python | Natural Language Processing library

 by   bonzanini Jupyter Notebook Version: Current License: No License

kandi X-RAY | nlp-tutorial Summary

kandi X-RAY | nlp-tutorial Summary

nlp-tutorial is a Jupyter Notebook library typically used in Artificial Intelligence, Natural Language Processing applications. nlp-tutorial has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Tutorial: Natural Language Processing in Python
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              nlp-tutorial has a low active ecosystem.
              It has 274 star(s) with 153 fork(s). There are 33 watchers for this library.
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              It had no major release in the last 6 months.
              nlp-tutorial has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of nlp-tutorial is current.

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              nlp-tutorial has 0 bugs and 0 code smells.

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

            kandi-License License

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

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

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            nlp-tutorial Key Features

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            Community Discussions

            QUESTION

            Problem re-creating a forloop from a Kaggle competition
            Asked 2021-Jul-02 at 18:59

            Recently for a course at University, our teacher asked us to re-create one of Kaggle's competitions. I chose to do this one.

            I was able to follow the tutorial relatively well, until I reached the for loop they wrote to clean the text in the data frame. Here it is:

            ...

            ANSWER

            Answered 2021-Jul-02 at 18:59

            range and xrange are both python functions, the only thing, xrange is used only in python 2.

            Both are implemented in different ways and have different characteristics associated with them. The points of comparison are:

            Return Type: Type 'list', Type 'xrange'

            Memory: Big size, Small size

            Operation Usage: As range() returns the list, all the operations that can be applied on the list can be used on it. On the other hand, as xrange() returns the xrange object, operations associated to list cannot be applied on them, hence a disadvantage.

            Speed: Because of the fact that xrange() evaluates only the generator object containing only the values that are required by lazy evaluation, therefore is faster in implementation than range().

            More info: source

            You are probably having this issue because you are using python3. Just use range function instead.

            Source https://stackoverflow.com/questions/68229754

            QUESTION

            No such file or directory Error with Google Cloud Storage
            Asked 2020-Aug-27 at 01:21

            I quite new to Google Cloud Platform and I am trying to train a model with TPU. I follow this tutorial to set up the TPU with Google Colab. All the code below follows the tutorial.

            This is the step I have done:

            ...

            ANSWER

            Answered 2020-Aug-08 at 04:12

            Can you post the part where run_coqa.py is opening the file?

            It seems like you're trying to open it with a regular os. command where you should be using GCP's sdk.

            Source https://stackoverflow.com/questions/63311656

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

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            Install nlp-tutorial

            You can download it from GitHub.

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            gh repo clone bonzanini/nlp-tutorial

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