Writing-Styles-Classification-Using-Stylometric-Analysis VS fuzzy-c-means

Compare Writing-Styles-Classification-Using-Stylometric-Analysis vs fuzzy-c-means and see what are their differences.

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Writing-Styles-Classification-Using-Stylometric-Analysis fuzzy-c-means
1 1
97 162
- -
10.0 5.7
over 1 year ago 6 days ago
Python Python
MIT License MIT License
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Writing-Styles-Classification-Using-Stylometric-Analysis

Posts with mentions or reviews of Writing-Styles-Classification-Using-Stylometric-Analysis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-05.
  • Models for spam detection on short messages with both text and numerical inputs
    3 projects | /r/LanguageTechnology | 5 Dec 2022
    Or look into stylistic features and add them to xgboost classifier (https://github.com/ZILiAT-NASK/StyloMetrix - I used those combined with BERT last hidden state for fake news classification and got the best results so far - here repo if you wish to get some inspirations: https://github.com/MarBry111/Fake-News-Detection-for-Social-Media-Posts-in-Polish-Language , https://github.com/Hassaan-Elahi/Writing-Styles-Classification-Using-Stylometric-Analysis here some more inspirations for stylistic features) to enhance the results.

fuzzy-c-means

Posts with mentions or reviews of fuzzy-c-means. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Writing-Styles-Classification-Using-Stylometric-Analysis and fuzzy-c-means you can also consider the following projects:

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PSOClustering - This is an implementation of clustering IRIS dataset with particle swarm optimization(PSO)

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

leidenalg - Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.