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Weka

Weka

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What is Weka?

Weka (Waikato Environment for Knowledge Analysis) is a suite of machine learning software written in Java, developed at the University of Waikato, New Zealand. It contains a collection of visualization and algorithms for data analysis and predictive modeling. Weka supports several standard data mining tasks, including data preprocessing, classification, regression, clustering, association rule mining, and visualization. It is commonly used in research, education, and real-world applications for tasks like data mining, machine learning experimentation, and building predictive models.

What other technologies are related to Weka?

Weka Competitor Technologies

A commercial text mining tool that competes with Weka for text analysis tasks.
mentioned alongside Weka in 84% (90) of relevant job posts
A data science platform that competes directly with Weka for building machine learning models.
mentioned alongside Weka in 6% (58) of relevant job posts
A numerical computing environment that offers machine learning capabilities, thus competing with Weka.
mentioned alongside Weka in 0% (832) of relevant job posts
A programming language and environment for statistical computing and graphics. Many of the functions are also available in Weka. R is a competitor and complement.
mentioned alongside Weka in 0% (1.1k) of relevant job posts

Weka Complementary Technologies

An API for semantic content enrichment, which can be used as a preprocessor for Weka to improve text mining tasks.
mentioned alongside Weka in 79% (89) of relevant job posts
A framework for developing analysis pipelines, which can be integrated with Weka for text processing and machine learning.
mentioned alongside Weka in 68% (91) of relevant job posts
A suite of NLP tools that can be used to preprocess text data for use in Weka.
mentioned alongside Weka in 63% (93) of relevant job posts

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