Java-based open-source carrot2 search result Aggregation Clustering Engine 2.0 was released

Java-based Open SourceCarrot2 search result Aggregation Clustering Engine2.0 released

Focus is a constant forward Compass-question

 

Java-based Open SourceCarrot2 search result Aggregation Clustering Engine2.0 released. carrot2 can automatically classify natural search results (aggregate clustering) into corresponding semantic categories. This function is completed by a ready-made component of carrot2, in addition, carrot2 also includes many other search result Aggregation Clustering Algorithms.Search Results Clustering AlgorithmsIt is worth reading. Today, 10B lobster and I talked about the translation algorithm of news titles. If this algorithm is supported by carrot, it should be a popular algorithm. This algorithm was mentioned on Lu Liang's blog. News readers are also preparing to use this algorithm to classify news and improve the speed of reading news.

One highlight of carrot2 2.0 is the increase in speed and ease of use. In terms of ease of use, carrot2 providesAduna clustermapThis component is placed in a GUI program that can be run independently. For details, see:Standalone GUI application. In addition, the core API is simplified.More information.

The popularity of carrot2 also derives fromCarrot searchSimilar to JBoss and MySQL-related operating companies. They released lingo3g. You can think of it. lingo3g (the name is really cool, lingo and 3G)-provides high-performanceDocument aggregation EngineThis engine is very powerful. It provides hierarchical, synonymous, and tag-based functions. Compared with autonomy, there are still some differences:

 

The technical kernel of autonomy is an intelligent information processing layer called idol. Idol is composed of a dynamic inference engine, a classification server, a user server, and other modules. It can implement core operations such as concept recognition, automatic summarization, effective recognition, automatic hyperlink, and natural language search, the classification server can implement automatic clustering, automatic classification, automatic directory generation, and other functions. The user server can implement personalized operations such as personal information creation, personalized information prompts, personalized information training, and expert positioning.

Are you as impatient as I am? Want to see the demo? Let's go

 

Related reading:

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News ReaderCarrot2 live demoThis is theirProject address.