Compare OpenText Magellan Text Mining vs. Weka

OpenText Magellan Text Mining is ranked 16th in Data Mining while Weka is ranked 7th in Data Mining. OpenText Magellan Text Mining is rated 0, while Weka is rated 0. On the other hand, OpenText Magellan Text Mining is most compared with Oracle Advanced Analytics, whereas Weka is most compared with KNIME, IBM SPSS Modeler and IBM SPSS Statistics.
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OpenText Magellan Text Mining Logo
19 views|15 comparisons
Weka Logo
3,175 views|2,961 comparisons
Ranking
16th
out of 16 in Data Mining
Views
19
Comparisons
15
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
7th
out of 16 in Data Mining
Views
3,175
Comparisons
2,961
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: May 2020.
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Compared 12% of the time.
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OpenText
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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.
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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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Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: May 2020.
419,214 professionals have used our research since 2012.
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.