pythainlp | Thai Natural Language Processing in Python | Natural Language Processing library

by PyThaiNLP Python Version: 5.0.4 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pythainlp Summary

pythainlp is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. pythainlp has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install pythainlp' or download it from GitHub, GitLab, PyPI.

PyThaiNLP is a Python package for text processing and linguistic analysis, similar to NLTK with focus on Thai language. PyThaiNLP เป็นไลบารีภาษาไพทอนสำหรับประมวลผลภาษาธรรมชาติ คล้ายกับ NLTK โดยเน้นภาษาไทย ดูรายละเอียดภาษาไทยได้ที่ README_TH.MD. Since PyThaiNLP 3.0, We will end support PyThaiNLP on Python 3.6. Python 3.6 users can use PyThaiNLP 2.3.2.

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Support

pythainlp has a medium active ecosystem.

It has 819 star(s) with 244 fork(s). There are 43 watchers for this library.

There were 7 major release(s) in the last 6 months.

There are 33 open issues and 266 have been closed. On average issues are closed in 85 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pythainlp is 5.0.4

Quality

pythainlp has 0 bugs and 0 code smells.

Security

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

pythainlp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pythainlp 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.

Reuse

pythainlp releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Split text into sentences
Tokenize text
Applies postprocessors to segments
Convert a list to a string
Get the full path to the corpus
Download a corpus catalog
The path to the corpus database
Return the corpus database URL
Return a list of nlp characters
Perform forward computation
Correct the spelling of a word
Get the transliteration dictionary
Reads the corpus from a file
Benchmark a reference sequence
Correct a word
Convert a custom dictionary into a list of tuples
Parse the text into a single sentence
Tag words
Get the full path to a corpus
Translates the text into a single string
Loads the model
Translate the given text
Translate the input text
Post - process words
Augment a sentence
Corrects the given list of words
Set of THAI stopwords

Get all kandi verified functions for this library.

pythainlp Key Features

No Key Features are available at this moment for pythainlp.

pythainlp Examples and Code Snippets

No Code Snippets are available at this moment for pythainlp.

Community Discussions

Trending Discussions on pythainlp

how can i remove stopwords in dataframe (Python)

QUESTION

how can i remove stopwords in dataframe (Python)

Asked 2020-Mar-12 at 08:12

this is my code and it doesn't work

...

ANSWER

Answered 2020-Mar-12 at 08:12

Assuming your stopwords is a list and df['tokens'] is a list of words or tokens each.
Simple Method:

Source https://stackoverflow.com/questions/60649764

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

Vulnerabilities

No vulnerabilities reported

Install pythainlp

PyThaiNLP 2 requires Python 3.6+. Python 2.7 users can use PyThaiNLP 1.6. See 2.0 change log | Upgrading from 1.7 | Upgrading ThaiNER from 1.7
PyThaiNLP Get Started notebook | API document | Tutorials
Official website | PyPI | Facebook page
Who uses PyThaiNLP?
Model cards - for technical details, caveats, and ethical considerations of the models developed and used in PyThaiNLP
This will install the latest stable release of PyThaiNLP.
Stable release: pip install --upgrade pythainlp
Pre-release (near ready): pip install --upgrade --pre pythainlp
Development (likely to break things): pip install https://github.com/PyThaiNLP/pythainlp/archive/dev.zip
Some functionalities, like Thai WordNet, may require extra packages. To install those requirements, specify a set of [name] immediately after pythainlp:. For dependency details, look at extras variable in setup.py.
full (install everything)
attacut (to support attacut, a fast and accurate tokenizer)
benchmarks (for word tokenization benchmarking)
icu (for ICU, International Components for Unicode, support in transliteration and tokenization)
ipa (for IPA, International Phonetic Alphabet, support in transliteration)
ml (to support ULMFiT models for classification)
thai2fit (for Thai word vector)
thai2rom (for machine-learnt romanization)
wordnet (for Thai WordNet API)

Support

Please do fork and create a pull request :)For style guide and other information, including references to algorithms we use, please refer to our contributing page.

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