NLP | NLP related projects such as : word vector | Natural Language Processing library

by ttjjlw Python Version: Current License: No License

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kandi X-RAY | NLP Summary

NLP is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. NLP has no bugs, it has no vulnerabilities and it has low support. However NLP build file is not available. You can download it from GitHub.

NLP related projects such as: word vector, text classification, text matching, NER, information extraction, text generation and the application of NLP in e-commerce

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NLP has a low active ecosystem.

It has 31 star(s) with 13 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NLP is current.

Quality

NLP has no bugs reported.

Security

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

License

NLP 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

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.

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.

Transformer transformer model
Attention layer
3D dense layer
Attention block
Train the model
Calculate the accuracy of a binary classification
Evaluate the model
Embedding postprocessor
Layer norm and dropout
Build vocabulary
Compute the LLE estimate
Runs a CV on the data
Applies a resource to a dense layer
Calculate dense matrices
Builds a batch of training data
Predict the model
Create attention_mask_from_tensor
Creates a feature_categorical_columns
Predict for the given model
Generate word data
Embed word embedding
Load data
Create an optimizer
Build the model
Build the embedding layer
Tokenize text

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:

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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.

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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 .

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