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RapidMiner5.3.013 details


  • Version: 5.3.013
  • File size: 64 MB
  • File name: download
  • Last update:
  • Platform:Mac OS X
  • License: GPL
  • Price:$0
  • Company: Ingo Mierswa (View more)

RapidMiner 5.3.013 Download Publisher Review:


Whats new in version 5.3.013:
  • Write CSV operator has a new parameter: 'Append to file'
  • Write Excel operator has a new parameter: File Format (xls, xlsx)
  • New Operator: Reorder Attributes
  • Set Macro: now can define empty macros
  • BUGFIX: Keep old settings after updating RapidMiner
  • BUGFIX: 'Cancel' ParameterTypeList Dialog works correctly now
  • BUGFIX: FP-Growth correctly handles parameter 'must contain'
  • BUGFIX: Join Operator displays MetaData correctly

Publisher review:
RapidMiner is unquestionably the world-leading open-source system for data mining. It is available as a stand-alone application for data analysis and as a data mining engine for the integration into own products. Thousands of applications of RapidMiner in more than 40 countries give their users a competitive edge.
Rapidminer pricing RapidMiner covers a wide range of real-world data mining tasks. RapidMiner includes more than 400 unique data mining operators.
Furthermore, RapidMiner can be used as a Java data mining library.
Operating system:
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Rapidminer Studio

Mac OS X

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Bring the smarts of Natural Language Processing and Text Analysis to your RapidMiner process with Text Analysis by AYLIEN.

Text Analysis by AYLIEN lets you easily Analyze and extract insight from text. Effortlessly mine textual data; news articles, social comments, tweets and reviews all from within RapidMiner.

Put structure on your unstructured data sources with the following functions:

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Sentiment Analysis:

- Document-level Sentiment Analysis: Determine the overall sentiment of a piece of text or document, works great on articles, blogs, reviews and social comments

- Aspect-based Sentiment Analysis: Extract specific aspects from a piece of text and determine the sentiment towards each aspect individually. Using domain specific models you can predict not just the sentiment of a review or comment but the positive and negative aspects present in the text (domain specific models include: Airlines, Restaurants, Automotives and Hotels)

Keyword, Entity and Concept Extraction:

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Classification by Taxonomy:

- Categorize text based on industry standard taxonomies (IAB and IPTC).

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- Remove clutter—such as site navigation or ads—by extracting only the main text of a webpage in order to get accurate results in your text analysis

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- Detect the language of any text or URL

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Text Analysis by AYLIEN supports both raw text and URLs as inputs and provides effortless access to proven NLP and Text Mining algorithms and models.

You’ll need an AYLIEN Text Analysis API key to use the extension. Grab your API key and make, up to 1,000 calls per day free.

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- Getting Started with Text Analysis by AYLIEN: A simple getting started tutorial.

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- Sentiment Analysis and Categorization of tweets: uses the Search Twitter operator to retrieve tweets, analyzes the sentiment, extracts the top level category, and outputs the results.

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- Article/Blog Analysis: retrieves an RSS feed, extracts the stories, categorizes them, extracts their entities, and outputs the results.

You can read more about AYLIEN's plans and pricing here.