jieba | Stuttering Chinese word segmentation is the best Python | Natural Language Processing library

by LiveMirror Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | jieba Summary

jieba is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. jieba has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Stuttering Chinese word segmentation is the best Python word segmentation component

Support

Quality

Security

License

Reuse

Support

jieba has a low active ecosystem.

It has 27 star(s) with 17 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

jieba has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of jieba is current.

Quality

jieba has 0 bugs and 0 code smells.

Security

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

jieba code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jieba 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

jieba 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.

It has 192955 lines of code, 56 functions and 34 files.

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

Top functions reviewed by kandi - BETA

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

Viterbi iteration
Get the top states of a transition tree

Get all kandi verified functions for this library.

jieba Key Features

No Key Features are available at this moment for jieba.

jieba Examples and Code Snippets

No Code Snippets are available at this moment for jieba.

Community Discussions

Trending Discussions on jieba

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

Problem to extract NER subject + verb with spacy and Matcher

Docker AWS Elastic beanstalk no error in local machine docker build but spacy NLP hanging forever when put on server

Chinese segmentation selection in model loading in Spacy 2.4 release

Why python program runs with different result between Linux shell and Jenkins job

QUESTION

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

Asked 2021-Oct-11 at 14:51

data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data

I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.

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ANSWER

Answered 2021-Oct-11 at 14:21

geopandas 0.10.1

have noted that your data is on kaggle, so start by sourcing it
there really is only one issue shapely.geometry.MultiPoint() constructor does not work with a filtered series. Pass it a numpy array instead and it works.
full code below, have randomly selected a point to serve as gpdPoint

Source https://stackoverflow.com/questions/69521034

QUESTION

Problem to extract NER subject + verb with spacy and Matcher

Asked 2021-Apr-26 at 17:44

I work on an NLP project and i have to use spacy and spacy Matcher to extract all named entities who are nsubj (subjects) and the verb to which it relates : the governor verb of my NE nsubj. Example :

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ANSWER

Answered 2021-Apr-26 at 05:05

This is a perfect use case for the Dependency Matcher. It also makes things easier if you merge entities to single tokens before running it. This code should do what you need:

Source https://stackoverflow.com/questions/67259823

QUESTION

Docker AWS Elastic beanstalk no error in local machine docker build but spacy NLP hanging forever when put on server

Asked 2020-Jul-08 at 09:45

Like the title. I have tested my docker on my local machine using docker build -t container-name and everything worked fine without any errors. Once I uploaded to beanstalk via CLI EB it fails. I have figured that there is one part where I run spacy's chinese NLP where it fails. Everything else is working fine but there seem to be no errors in the logs or anything unusual I can tell to understand how to debug this.

I have tried every possibility and looked through the web to no avail. There is one time when the full logs from the EB showed 'memoryerror' which I cannot recreate under any circumstance but that is all the clue I have. Here are the logs:

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ANSWER

Answered 2020-Jul-08 at 09:45

Just for anyone who somehow has the same problem:

The problem for me was that it worked on my local machine but not on AWS EB but without errors. The problem was the memoryerror mentioned above. I was using a free tier hence my memory limit was at 1gb and AWS EB crashes once you exceed that limit.

There are two ways to fix it that is quite obvious but was not obvious to me in the first place:

Expand your tier to one with higher memory capacity
Make your program more memory efficient

I did the latter and the problem was solved.

Some useful commands to help you debug:

Source https://stackoverflow.com/questions/62783040

QUESTION

Chinese segmentation selection in model loading in Spacy 2.4 release

Asked 2020-Jun-30 at 09:17

For the Chinese model loading, how can I load all the models while still be able to set the pkuseg and jieba settings?

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ANSWER

Answered 2020-Jun-30 at 09:17

You don't want to modify the segmentation setup in the loaded model.

It's technically possible to switch the loaded model from pkuseg to jieba, but if you do that, the model components will perform terribly because they've only been trained on pkuseg segmentation.

Source https://stackoverflow.com/questions/62645972

QUESTION

Why python program runs with different result between Linux shell and Jenkins job

Asked 2020-Mar-09 at 16:43

I have a python program, which should run in Jenkins job. But I got below error:

...

ANSWER

Answered 2020-Mar-09 at 16:39

You can use absolute path of Python for executing the script in Jenkins.

Source https://stackoverflow.com/questions/60604406

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

Vulnerabilities

No vulnerabilities reported

Install jieba

You can download it from GitHub.
You can use jieba 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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