nlp | Module for Natural Language Processing | Natural Language Processing library

 by   michael-spengler TypeScript Version: 1.2.1 License: MIT

kandi X-RAY | nlp Summary

kandi X-RAY | nlp Summary

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

Module for Natural Language Processing (NLP)
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            kandi-support Support

              nlp has a low active ecosystem.
              It has 12 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              nlp has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of nlp is 1.2.1

            kandi-Quality Quality

              nlp has no bugs reported.

            kandi-Security Security

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

            kandi-License 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.

            kandi-Reuse Reuse

              nlp releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            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

            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.

            ...

            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

            ...

            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:

            1. 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.

            ...

            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

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            You can download it from GitHub.

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