quickly try Carrot2 with your own data; tune Carrot2 clustering settings in real time Carrot2 User and Developer Manual Download User and Developer. Carrot² is an open source search results clustering engine. It can automatically cluster small . with Carrot² clustering, radically simplified Java API, search results clustering web application re-implemented, user manual available. This manual provides detailed information about the Carrot Search Lingo3G document The dependency on Carrot2 framework has been updated to , .

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Please carrog2 remember to read the license. Press the Process button to see the results. The highest value effectively disables the filter, which may result in short or truncated labels.

Run the CLI application. List of Tables 5.

Lexical resources are placed in the resources folder under the distribution folder. The code shown below searches the web using org.

The default language to use for documents with undefined org. Building Carrot 2 Web Application 8.

It can cluster documents from an external source e. List of Examples 6. Can Carrot2 cluster content in other languages than English? Alternatively, you may want to use the include element to reference one of carrot22 example document source descriptors shipped with the application e. Another useful application of this attribute is when there is a need to generate only very specific clusters, i.

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Overview (Lingo3G v API Documentation (JavaDoc))

Read clusters from input. To support snapshot builds, add the following fragment to the repositories section of your pom. You can increase the number of benchmark threads in the Threads section.

Currently, Carrot 2 offers two specialized search results clustering algorithms: You can also describe your specific application on Carrot 2 mailing list and ask for advice. No more than the specified number of results will be fetched from PubMed, regardless of the requested number of results. Tip Saving documents into XML can be particularly useful when there is a need to capture the output of some remote or non-public document source to a local file, which can be then passed on to someone else for further inspection.

For more than about documents, Lingo clustering will take a long time and large memory [ a ]. ResourceLookup to look up org. Currently, the only component not falling into the above categories is a component for computing certain cluster quality metrics, but more components may be added in the future, e.


Tools and Maunal 3. Phrase length penalty stop. If you have commercial arrangements with eTools, specify your partner id here. Each Carrot 2 release should mannual performed according to the following procedure:. What is the query syntax in Carrot2? These may include critical bug fixes as well as patches increasing performance, but not changing the programming interfaces.

To reduce the size of the Other Topics cluster generated by Lingo, you can try applying the following settings:.

Lingo3G v1.16.0 API Documentation

Use highlighter output if present. Trying Carrot 2 clustering 4. Document attribute that contains a list of mahual. FileResource Other assignable value types are allowed.

Phrases mnaual in fewer than dfThreshold documents will be ignored. To save results in the non-default directory, use the -o option: However, certain level of shallow linguistic preprocessing usually helps in achieving better clustering and high-quality cluster labels this is especially true when clustering smaller content, such as search results.