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nltk | Natural Language Toolkit | Natural Language Processing library

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kandi X-RAY | nltk Summary

nltk is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. nltk has no bugs, it has build file available, it has a Permissive License and it has medium support. However nltk has 4 vulnerabilities. You can download it from GitHub.
NLTK -- the Natural Language Toolkit -- is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. NLTK requires Python version 3.7, 3.8, 3.9 or 3.10. For documentation, please visit nltk.org.

kandi-support Support

  • nltk has a medium active ecosystem.
  • It has 10427 star(s) with 2545 fork(s). There are 472 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 203 open issues and 1378 have been closed. On average issues are closed in 130 days. There are 8 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of nltk is current.

quality kandi Quality

  • nltk has no bugs reported.

securitySecurity

  • nltk has 4 vulnerability issues reported (0 critical, 4 high, 0 medium, 0 low).

license License

  • nltk is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.

buildReuse

  • nltk releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA

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

  • Train the model .
  • Process relation relations .
  • Generate node coordinates for node .
  • Perform a postag regression on the model .
  • Create a LU for the given function .
  • returns a list of words
  • Compute the BLEU score .
  • Train a hidden Markov model .
  • Example demo .
  • Find a jar file for the given name pattern .

nltk Key Features

NLTK Source

nltk Examples and Code Snippets

  • Citing
  • Pandas - Keyword count by Category
  • Import numpy can't be resolved ERROR When I already have numpy installed
  • How to Capitalize Locations in a List Python
  • Manually install Open Multilingual Worldnet (NLTK)
  • tokenize sentence into words python
  • How do I turn this oddly formatted looped print function into a data frame with similar output?
  • How to get a nested list by stemming the words inside the nested lists?
  • No module named 'nltk.lm' in Google colaboratory
  • Pyodide filesystem for NLTK resources : missing files
  • ModuleNotFoundError: No module named '_tkinter' on Jupyter Notebook

Citing

Bird, Steven, Edward Loper and Ewan Klein (2009).
Natural Language Processing with Python.  O'Reilly Media Inc.

Community Discussions

Trending Discussions on nltk
  • Pandas - Keyword count by Category
  • Import numpy can't be resolved ERROR When I already have numpy installed
  • How to Capitalize Locations in a List Python
  • Manually install Open Multilingual Worldnet (NLTK)
  • tokenize sentence into words python
  • Convert words between part of speech, when wordnet doesn't do it
  • How do I turn this oddly formatted looped print function into a data frame with similar output?
  • Sagemaker Serverless Inference & custom container: Model archiver subprocess fails
  • How to get a nested list by stemming the words inside the nested lists?
  • No module named 'nltk.lm' in Google colaboratory
Trending Discussions on nltk

QUESTION

Pandas - Keyword count by Category

Asked 2022-Apr-04 at 13:41

I am trying to get a count of the most occurring words in my df, grouped by another Columns values:

I have a dataframe like so:

df=pd.DataFrame({'Category':['Red','Red','Blue','Yellow','Blue'],'Text':['this is very good ','good','dont like','stop','dont like']})

enter image description here

This is the way that I have counted the keywords in the Text column:

from collections import Counter

top_N = 100


stopwords = nltk.corpus.stopwords.words('english')
# # RegEx for stopwords
RE_stopwords = r'\b(?:{})\b'.format('|'.join(stopwords))
# replace '|'-->' ' and drop all stopwords
words = (df.Text
           .str.lower()
           .replace([r'\|', RE_stopwords], [' ', ''], regex=True)
           .str.cat(sep=' ')
           .split()
)

# generate DF out of Counter
df_top_words = pd.DataFrame(Counter(words).most_common(top_N),
                    columns=['Word', 'Frequency']).set_index('Word')
print(df_top_words)

Which produces this result:

However this just generates a list of all of the words in the data frame, what I am after is something along the lines of this:

ANSWER

Answered 2022-Apr-04 at 13:11

Your words statement finds the words that you care about (removing stopwords) in the text of the whole column. We can change that a bit to apply the replacement on each row instead:

df["Text"] = (
    df["Text"]
    .str.lower()
    .replace([r'\|', RE_stopwords], [' ', ''], regex=True)
    .str.strip()
    # .str.cat(sep=' ')
    .str.split()  # Previously .split()
)

Resulting in:

  Category          Text
0      Red        [good]
1      Red        [good]
2     Blue  [dont, like]
3   Yellow        [stop]
4     Blue  [dont, like]

Now, we can use .explode and then .groupby and .size to expand each list element to its own row and then count how many times does a word appear in the text of each (original) row:

df.explode("Text").groupby(["Category", "Text"]).size()

Resulting in:

Category  Text
Blue      dont    2
          like    2
Red       good    2
Yellow    stop    1

Now, this does not match your output sample because in that sample you're not applying the .replace step from the original words statement (now used to calculate the new value of the "Text" column). If you wanted that result, you just have to comment out that .replace line (but I guess that's the whole point of this question)

Source https://stackoverflow.com/questions/71737328

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

Vulnerabilities

No vulnerabilities reported

Install nltk

You can download it from GitHub.
You can use nltk 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

Do you want to contribute to NLTK development? Great! Please read CONTRIBUTING.md for more details. See also how to contribute to NLTK.

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