Text-Clustering | unique words that appear in the “ review/text ” field

by javiajinkal Python Version: Current License: No License

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

kandi X-RAY | Text-Clustering Summary

Text-Clustering is a Python library. Text-Clustering has no bugs, it has no vulnerabilities and it has low support. However Text-Clustering build file is not available. You can download it from GitHub.

Identify all the unique words that appear in the “review/text” field of the reviews in the dataset (Clean the data and remove stopwords then identify top 500 frequent words. Using these 500 words vectorize all reviews. Cluster the vectorized reviews into 10 clusters using k-means. From each centroid, select the top 5 words that represent the centroid (i.e., the words with the highest feature values)

Support

Quality

Security

License

Reuse

Support

Text-Clustering has a low active ecosystem.

It has 0 star(s) with 3 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Text-Clustering has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Text-Clustering is current.

Quality

Text-Clustering has no bugs reported.

Security

Text-Clustering has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Text-Clustering 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

Text-Clustering releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Text-Clustering

Get all kandi verified functions for this library.

Text-Clustering Key Features

No Key Features are available at this moment for Text-Clustering.

Text-Clustering Examples and Code Snippets

No Code Snippets are available at this moment for Text-Clustering.

Community Discussions

No Community Discussions are available at this moment for Text-Clustering.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Text-Clustering

You can download it from GitHub.
You can use Text-Clustering 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 .

Find more information at: