OpenText Magellan Text Mining vs Weka comparison

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143 views|31 comparisons
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Read 14 Weka reviews
3,678 views|1,726 comparisons
78% willing to recommend
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Executive Summary

We performed a comparison between OpenText Magellan Text Mining and Weka based on real PeerSpot user reviews.

Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.
To learn more, read our detailed Data Mining Report (Updated: March 2024).
768,578 professionals have used our research since 2012.
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Pricing and Cost Advice
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  • "Currently, I am using an open-source version so I don't know much about the price of this solution."
  • "The solution is free and open-source."
  • "As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if it is a commercial product."
  • "We use the free version now. My faculty is very small."
  • More Weka Pricing and Cost Advice →

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    Top Answer:Weka is free and open-source software. That is why I used it over KNIME.
    Top Answer:I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding… more »
    Ranking
    11th
    out of 18 in Data Mining
    Views
    143
    Comparisons
    31
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    2nd
    out of 18 in Data Mining
    Views
    3,678
    Comparisons
    1,726
    Reviews
    7
    Average Words per Review
    518
    Rating
    7.9
    Comparisons
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    Weka
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    Overview

    OpenText Magellan Text Mining transforms data into insights for better decision-making and information management while freeing up resources and time. By some estimates, as much as 71% of enterprises are struggling with how to manage and protect unstructured data.1 Magellan Text Mining enables enterprises to understand the context and information locked in high volumes of content at scale.

    With Magellan Text Mining, information governance is more accurate and efficient, cutting down on redundant, obsolete or trivial information and extending the lifespan of useful data.

    Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
    Sample Customers
    TORA Trading Services, North Star BlueScope Steel, Eldorado Computing, Linkaform, MOBIS Parts Australia, Storengy Engie, Delta RM, Knorr-Bremse Group, KMD, APP Corporation, Westpac Banking Corporation
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    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    University18%
    Educational Organization14%
    Computer Software Company10%
    Comms Service Provider7%
    Company Size
    No Data Available
    REVIEWERS
    Small Business70%
    Midsize Enterprise10%
    Large Enterprise20%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise18%
    Large Enterprise62%
    Buyer's Guide
    Data Mining
    March 2024
    Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    OpenText Magellan Text Mining is ranked 11th in Data Mining while Weka is ranked 2nd in Data Mining with 14 reviews. OpenText Magellan Text Mining is rated 0.0, while Weka is rated 7.6. On the other hand, the top reviewer of Weka writes "Open source, good for basic data mining use cases except for the visualization results". OpenText Magellan Text Mining is most compared with , whereas Weka is most compared with KNIME, IBM SPSS Statistics, IBM SPSS Modeler, Oracle Advanced Analytics and SAS Analytics.

    See our list of best Data Mining vendors.

    We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.