stopwords | Default English stopword lists from many different sources | Natural Language Processing library

by igorbrigadir Python Version: v1.1 License: No License

X-Ray Key Features Code Snippets(2)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | stopwords Summary

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

Default English stopword lists from many different sources

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Quality

Security

License

Reuse

Support

stopwords has a low active ecosystem.

It has 262 star(s) with 131 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 1 have been closed. On average issues are closed in 6 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of stopwords is v1.1

Quality

stopwords has 0 bugs and 0 code smells.

Security

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

stopwords code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

stopwords 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

stopwords releases are available to install and integrate.

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

stopwords saves you 3 person hours of effort in developing the same functionality from scratch.

It has 10 lines of code, 0 functions and 1 files.

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

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stopwords Key Features

No Key Features are available at this moment for stopwords.

stopwords Examples and Code Snippets

Remove all words from the stopwords

java

Lines of Code : 12

License : Permissive (MIT License)

Copy

@Benchmark
    public String removeManually() {
        String[] allWords = data.split(" ");
        StringBuilder builder = new StringBuilder();
        for(String word:allWords) {
            if(! stopwords.contains(word)) {
                builder

Replace stopwords .

java

Lines of Code : 4

License : Permissive (MIT License)

Copy

@Benchmark
    public String replaceRegex() {
        return data.replaceAll(stopwordsRegex, "");
    }

Community Discussions

Trending Discussions on stopwords

Python: Speed of loop drastically increases if different run order?

ImportError: cannot import name 'Nullable' from 'bokeh.core.properties' (C:\ProgramData\Anaconda3\lib\site-packages\bokeh\core\properties.py)

How to remove all words occuring before a stop word

Replace periods and commas with space in each file within the folder

Empty content when moving files of a folder to another folder with a modification or deletion of stop words on these files

Remove 2 stopwords lists with Quanteda package R

Streamlining cleaning Tweet text with Stringr

Error in LDA(cdes, k = K, method = "Gibbs", control = list(verbose = 25L, : Each row of the input matrix needs to contain at least one non-zero entry

download nltk corpus as cmdclass in setup.py files not working

spacy getting tokens in the form of string instead on uint8

QUESTION

Python: Speed of loop drastically increases if different run order?

Asked 2021-Jun-13 at 23:19

As I'm working on a script to correct formatting errors from documents produced by OCR, I ran into an issue where, depending on which loop I run first, my program runs about 80% slower.

Here is a simplified version of my code. I have the following loop to check for uppercase errors (e.g., "posSible"):

...

ANSWER

Answered 2021-Jun-13 at 23:19

headingsFix strips out all the line endings, which you presumably did not intend. However, your question is about why changing the order of transformations results in slower execution, so I'll not discuss fixing that here.

fixUppercase is extremely inefficient at handling lines with many words. It repeatedly calls line.split() over and over again on the entire book-length string. That isn't terribly slow if each line has maybe a dozen words, but it gets extremely slow if you have one enormous line with tens of thousands of words. I found your program runs vastly faster with this change to only split each line once. (I note that I can't say whether your program is correct as it stands, just that this change should have the same behaviour while being a lot faster. I'm afraid I don't particularly understand why it's comparing each word to see if it's the same as the last word on the line.)

Source https://stackoverflow.com/questions/67953901

QUESTION

ImportError: cannot import name 'Nullable' from 'bokeh.core.properties' (C:\ProgramData\Anaconda3\lib\site-packages\bokeh\core\properties.py)

Asked 2021-Jun-13 at 07:43

above the error pop up when importing the holoviews.I try different methods but didn't work. The following import

...

ANSWER

Answered 2021-Jun-12 at 22:46

Nullable is a recent addition. You need to install a newer version of Bokeh.

Source https://stackoverflow.com/questions/67953507

QUESTION

How to remove all words occuring before a stop word

Asked 2021-Jun-11 at 10:43

I have a dataframe containing platform terms (platform + 3 words before):

Paper A Paper B at a digital platform add a digital platform change the consumer platform got a feedback platform

For each string in the dataframe I want to delete the stopwords and any word that is occuring in front of the stop word.

Dataframe should look like this:

Paper A Paper B digital platform digital platform consumer platform feedback platform

My best try so far:

...

ANSWER

Answered 2021-Jun-11 at 10:43

You need to reconsider the way you deal with the word lists and the pattern you use.

Here is a possible solution with the regular re package:

Source https://stackoverflow.com/questions/67935239

QUESTION

Replace periods and commas with space in each file within the folder

Asked 2021-Jun-11 at 10:28

I have a folder that contains a group of files, and each file contains a text string, periods, and commas. I want to replace the periods and commas with spaces and print all the files afterwards.

I used Replace, but this error appeared to me:

...

ANSWER

Answered 2021-Jun-11 at 10:28

It seems you are trying to use the string function "replace" on a list. If your intention is to use it on all of the list's members, you can do it like so:

Source https://stackoverflow.com/questions/67935284

QUESTION

Empty content when moving files of a folder to another folder with a modification or deletion of stop words on these files

Asked 2021-Jun-10 at 15:19

I have this project.

I have a folder called "Corpus" and it contains a set of files. It is required that I delete the "stop words" from these files and then save the new files that do not contain the stop words in a new folder called "Save-files".

And when I opened the “Save-Files” folder, I saw inside it the files that I had saved, but they were without content, that is, when I open the number one file, it is empty without content.

And as it is clear in the first picture, here is the “Save-Files” folder, and inside it there is a group of files that i saved.

And when I open any of the files, it is empty.

How can I solve the problem?

...

ANSWER

Answered 2021-Jun-10 at 14:10

you need to update the line to read the file to

Source https://stackoverflow.com/questions/67922770

QUESTION

Remove 2 stopwords lists with Quanteda package R

Asked 2021-Jun-10 at 12:42

I'm working with quanteda package on a corpus dataframe, and here is the basic code i use :

...

ANSWER

Answered 2021-Jun-10 at 12:42

This is a case where knowing the value of return objects in R is the key to obtaining the result you want. Specifically, you need to know what stopwords() returns, as well as what it is expected as its first argument.

stopwords(language = "sp") returns a character vector of Spanish stopwords, using the default source = "snowball" list. (See ?stopwords for full details.)

So if you want to remove the default Spanish list plus your own words, you concatenate the returned character vector with additional elements. This is what you have done in creating all_stops.

So to remove all_stops -- and here, using the quanteda v3 suggested usage -- you simply do the following:

Source https://stackoverflow.com/questions/67902006

QUESTION

Streamlining cleaning Tweet text with Stringr

Asked 2021-Jun-05 at 11:17

I am learning about text mining and rTweet and I am currently brainstorming on the easiest way to clean text obtained from tweets. I have been using the method recommended on this link to remove URLs, remove anything other than English letters or space, remove stopwords, remove extra whitespace, remove numbers, remove punctuations.

This method uses both gsub and tm_map() and I was wondering if it was possible to stream line the cleaning process using stringr to simply add them to a cleaning pipe line. I saw an answer in the site that recommended the following function but for some reason I am unable to run it.

...

ANSWER

Answered 2021-Jun-05 at 02:52

To answer your primary question, the clean_tweets() function is not working in the line "Clean <- tweets %>% clean_tweets" presumably because you are feeding it a dataframe. However, the function's internals (i.e., the str_ functions) require character vectors (strings).

cleaning issue

I say "presumably" here because I'm not sure what your tweets object looks like, so I can't be sure. However, at least on your test data, the following solves the problem.

Source https://stackoverflow.com/questions/67845605

QUESTION

Error in LDA(cdes, k = K, method = "Gibbs", control = list(verbose = 25L, : Each row of the input matrix needs to contain at least one non-zero entry

Asked 2021-Jun-04 at 06:53

I have a big dataset of almost 90 columns and about 200k observations. One of the column contains descriptions, so it's only text. However, i have like 100 descriptions that are NAs.

I tried the code of Pablo Barbera from GitHub concerning Topic Models because i need it.

OUTPUT

...

ANSWER

Answered 2021-Jun-04 at 06:53

It looks like some of your documents are empty, in the sense that they contain no counts of any feature.

You can remove them with:

Source https://stackoverflow.com/questions/67825501

QUESTION

download nltk corpus as cmdclass in setup.py files not working

Asked 2021-Jun-03 at 12:13

There are some parts of the nltk corpus that I'd like to add to the setup.py file. I followed the response here by setting up a custom cmdclass. My setup file looks like this.

...

ANSWER

Answered 2021-Jun-03 at 12:13

Pass the class, not its instance:

Source https://stackoverflow.com/questions/67821111

QUESTION

spacy getting tokens in the form of string instead on uint8

Asked 2021-Jun-02 at 11:31

I am wondering if there is a way to use tokenizer(s).to_array("LOWERCASE") in the form of string instead of format uint8.

...

ANSWER

Answered 2021-Jun-02 at 11:28

It does not seem possible with to_array to get the string token list due to Doc.to_array return type, ndarray:

Export given token attributes to a numpy ndarray. If attr_ids is a sequence of M attributes, the output array will be of shape (N, M), where N is the length of the Doc (in tokens). If attr_ids is a single attribute, the output shape will be (N,). You can specify attributes by integer ID (e.g. spacy.attrs.LEMMA) or string name (e.g. “LEMMA” or “lemma”). The values will be 64-bit integers.

You can use

Source https://stackoverflow.com/questions/67803832

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

Vulnerabilities

No vulnerabilities reported

Install stopwords

You can download it from GitHub.
You can use stopwords 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

Have you got a favourite stopword list that's different to what's here? Send a pull request with your list as a text file, 1 word per line in en/ folder and a new row in en_stopwords.csv.

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