NLP | This is where I put all my work in Natural Language | Machine Learning library

by ChunML Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | NLP Summary

NLP is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. NLP has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However NLP build file is not available. You can download it from GitHub.

This is where I play with NLP, aka Natural Language Processing, the art of teaching machine to understand and mimic human's natural language (semantically and/or syntactically). Projects in this repository are still in progress and gradually updated. README's content will be updated accordingly. Maybe I'll write some blog posts if necessary.

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Quality

Security

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Support

NLP has a low active ecosystem.

It has 90 star(s) with 48 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 4 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NLP is current.

Quality

NLP has 0 bugs and 0 code smells.

Security

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

NLP code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NLP 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

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

NLP has no build file. You will be need to create the build yourself to build the component from source.

NLP saves you 1898 person hours of effort in developing the same functionality from scratch.

It has 4184 lines of code, 182 functions and 33 files.

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

Top functions reviewed by kandi - BETA

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

Create a dataset
Downloads and parses a file
Normalize a string
Convert unicode characters to ASCII
Reads data from a file
Download the data
Creates a lookup table for the given words
Train the model
Predict the source
Construct an Estimator
Get embedding
Create training files
Process line
Compute the LSTM
Convert a position vector to a polynomial
LSTM network
Splits the given text into batches
Calculates the loss and training op
Get the embedding of the input array
Get data from training file
Create lookup table for the given words
Create a dataset from words
Creates the network
Inverse inference function
Create a train op
Perform a train step
Download and extract a file from url
Create input data
Predict the prediction

Get all kandi verified functions for this library.

NLP Key Features

No Key Features are available at this moment for NLP.

NLP Examples and Code Snippets

No Code Snippets are available at this moment for NLP.

Community Discussions

Trending Discussions on NLP

Creating a list of sentences from a file and adding it into a dataframe

how can I pass table or dataframe instead of text with entity recognition using spacy

How to find NLP words count and plot it?

unable to mmap 1024 bytes - Cannot allocate memory - even though there is more than enough ram

SpaCy custom NER training AttributeError: 'DocBin' object has no attribute 'to_disk'

Filter products that has n values in each rating using python

MemoryError with FastApi and SpaCy

How to get a pair of dependency relation between two words in a sentence using spacy?

ValueError: nlp.add_pipe now takes the string name of the registered component factory, not a callable component

Remove all columns or rows with only zeros out of a data frame

QUESTION

Creating a list of sentences from a file and adding it into a dataframe

Asked 2021-Jun-15 at 22:00

I am using the code below to create a list of sentences from a file document. The function will return a list of sentences.

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ANSWER

Answered 2021-Jun-15 at 22:00

sentences is a list per your function. You may want to change your return statement to return a string instead. The full function would therefore look like:

Source https://stackoverflow.com/questions/67993726

QUESTION

how can I pass table or dataframe instead of text with entity recognition using spacy

Asked 2021-Jun-15 at 09:55

The following link shows how to add multiple EntityRuler with spaCy. The code to do that is below:

...

ANSWER

Answered 2021-Jun-15 at 09:55

Imagine that your dataframe is

Source https://stackoverflow.com/questions/67983109

QUESTION

How to find NLP words count and plot it?

Asked 2021-Jun-15 at 09:41

I am doing some NLP work

my original dataframe is df_all

...

ANSWER

Answered 2021-Jun-15 at 08:15

You could use collections.Counter to count the words:

Source https://stackoverflow.com/questions/67979512

QUESTION

unable to mmap 1024 bytes - Cannot allocate memory - even though there is more than enough ram

Asked 2021-Jun-14 at 11:16

I'm currently working on a seminar paper on nlp, summarization of sourcecode function documentation. I've therefore created my own dataset with ca. 64000 samples (37453 is the size of the training dataset) and I want to fine tune the BART model. I use for this the package simpletransformers which is based on the huggingface package. My dataset is a pandas dataframe. An example of my dataset:

My code:

...

ANSWER

Answered 2021-Jun-08 at 08:27

While I do not know how to deal with this problem directly, I had a somewhat similar issue(and solved). The difference is:

I use fairseq
I can run my code on google colab with 1 GPU
Got RuntimeError: unable to mmap 280 bytes from file : Cannot allocate memory (12) immediately when I tried to run it on multiple GPUs.

From the other people's code, I found that he uses python -m torch.distributed.launch -- ... to run fairseq-train, and I added it to my bash script and the RuntimeError is gone and training is going.

So I guess if you can run with 21000 samples, you may use torch.distributed to make whole data into small batches and distribute them to several workers.

Source https://stackoverflow.com/questions/67876741

QUESTION

SpaCy custom NER training AttributeError: 'DocBin' object has no attribute 'to_disk'

Asked 2021-Jun-13 at 16:07

I want to train a custom NER model using spaCy v3 I prepared my train data and I used this script

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ANSWER

Answered 2021-Jun-13 at 14:54

Make sure you are really using spaCy 3, in case you haven't :)

You can check this from the console by running python -c "import spacy; print(spacy.__version__)"

By issuing via command line pip install spacy==3.0.6 in a python env, and then running in the python console

Source https://stackoverflow.com/questions/67956814

QUESTION

Filter products that has n values in each rating using python

Asked 2021-Jun-12 at 19:11

I am working with Amazon reviews data and I am still learning about python and dataframes.

The df looks like this:

...

ANSWER

Answered 2021-Jun-12 at 19:07

Here you go, a few simple steps:

Get counts per product and rating

Source https://stackoverflow.com/questions/67952138

QUESTION

MemoryError with FastApi and SpaCy

Asked 2021-Jun-12 at 06:42

I am running a FastAPI (v0.63.0) web app that uses SpaCy (v3.0.5) for tokenizing input texts. After the web service has been running for a while, the total memory usage grows too big, and SpaCy throws MemoryErrors, results in 500 errors of the web service.

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ANSWER

Answered 2021-Jun-12 at 06:42

The SpaCy tokenizer seems to cache each token in a map internally. Consequently, each new token increases the size of that map. Over time, more and more new tokens inevitably occur (although with decreasing speed, following Zipf's law). At some point, after having processed large numbers of texts, the token map will thus outgrow the available memory. With a large amount of available memory, of course this can be delayed for a very long time.

The solution I have chosen is to store the SpaCy model in a TTLCache and to reload it every hour, emptying the token map. This adds some extra computational cost for reloading the SpaCy model from, but that is almost negligible.

Source https://stackoverflow.com/questions/67777505

QUESTION

How to get a pair of dependency relation between two words in a sentence using spacy?

Asked 2021-Jun-11 at 12:28

I am using spacy to get the dependency relation, this works well. But I have a problem of getting a pair of token with a specific dependency relation (except for the conj relation).

When using the .dep_, I can get the dependency attribute of each seprate token. However, I would like to a pair of token for a specific dependency relation. For example, in the following code, I can get the shown result.

...

ANSWER

Answered 2021-Jun-11 at 12:28

You can use the head index. E.g.,

Source https://stackoverflow.com/questions/67925248

QUESTION

ValueError: nlp.add_pipe now takes the string name of the registered component factory, not a callable component

Asked 2021-Jun-10 at 07:41

The following link shows how to add custom entity rule where the entities span more than one token. The code to do that is below:

...

ANSWER

Answered 2021-Jun-09 at 17:49

You need to define your own method to instantiate the entity ruler:

Source https://stackoverflow.com/questions/67906945

QUESTION

Remove all columns or rows with only zeros out of a data frame

Asked 2021-Jun-08 at 21:34

I have a question to NLP in R. My data is very big and so I need to reduce my data for further analysis to apply a SVM on it.

I have a Document-Term-Matrix like this:

...

ANSWER

Answered 2021-Jun-06 at 17:25

Here is how I would do it:

Source https://stackoverflow.com/questions/67861799

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

Vulnerabilities

No vulnerabilities reported

Install NLP

You can download it from GitHub.
You can use NLP 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 .

Find more information at: