textgo | Text preprocessing , representation , similarity | Natural Language Processing library

by Lipairui Python Version: 1.4 License: MIT

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

kandi X-RAY | textgo Summary

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

TextGo is a python package to help you work with text data conveniently and efficiently. It's a powerful NLP tool, which provides various apis including text preprocessing, representation, similarity calculation, text search and classification. Besides, it supports both English and Chinese language.

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Quality

Security

License

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Support

textgo has a low active ecosystem.

It has 30 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 33 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of textgo is 1.4

Quality

textgo has 0 bugs and 0 code smells.

Security

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

textgo code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

textgo is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

textgo releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

textgo saves you 870 person hours of effort in developing the same functionality from scratch.

It has 1992 lines of code, 99 functions and 21 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Create a dataloader
Load a model from a pretrained dataset
Predict classes for the model
Evaluate the model
Search texts using search index
Compute embeddings for a given corpus
Load embedding model
Compute the embedding of the corpus
Get a connected device
Get the maximum number of GPU GPUs
Load a vocabulary from a file
Build a vocabulary from a text file
Load a config file
Evaluate a configuration dictionary
Build vocabulary
Save vocabulary
Forward computation
Perform convolution
Compute similarity between texts1 and texts2
Compute cosine similarity
Load pretrained embeddings
Compute the distance between texts1 and texts2
Build the search index
Predict class predictions

Get all kandi verified functions for this library.

textgo Key Features

No Key Features are available at this moment for textgo.

textgo Examples and Code Snippets

No Code Snippets are available at this moment for textgo.

Community Discussions

Trending Discussions on textgo

Make recycler view to be scrollable vertically

QUESTION

Make recycler view to be scrollable vertically

Asked 2021-Mar-24 at 08:46

I'm using the following code to create a recycler view. The recyclerview has got a grid layout manager with an item count of up to 2 per row.

...

ANSWER

Answered 2021-Mar-23 at 14:15

The error comes from

Source https://stackoverflow.com/questions/66764586

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

Vulnerabilities

No vulnerabilities reported

Install textgo

You can install using 'pip install textgo' or download it from GitHub, PyPI.
You can use textgo 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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