Lingo3G: text document clustering engine

Benefits

Lingo3G can help users of your applications to overcome information overload by:

• Instant overview of the document set Lingo3G will concisely summarise the subjects dealt with in the documents.
• Fast access to relevant documents With clearly labelled folders, users will navigate straight to the documents they need and easily skip the irrelevant ones.
• More efficient browsing With the folder view, users will browse an order of magnitude more documents than with the traditional ranked list search.
• Query refinement Folder labels generated by Lingo3G can help your users to refine their initial query and e.g. "drill down" on a specific subject.

Lingo3G powers innovative applications built by our customers in the areas of search results clustering, text mining and e-discovery, visual search, search engine optimization and other.

Next steps

• Check out Lingo3G APIs and tools for possible integration options
• Compare Lingo3G editions
• Try some of our customers' applications based on Lingo3G
• Take a look at Lingo3G manual
• Request a free trial
• Place your order

Features

• Meaningful hierarchical clusters with useful, concise and varied labels.
• No external taxonomies or knowledge bases needed, Lingo3G categorizes documents based only on their text.
• High performance, real-time clustering On a desktop machine, Lingo3G clusters 100 search results in less than 10 ms.
• Scalability Lingo3G can cluster thousands of abstracts or full-text documents. Clustering 10.000 abstracts takes 530ms.
• Easy integration Lingo3G can be called through its native Java API and C# APIs. Any other technology can call Lingo3G as a REST service. Lingo3G integrates with Apache Solr and Nutch.
• Tuning of clustering characteristics and performance in a dedicated GUI application called Lingo3G Workbench.
• 100% pure Java library with no platform-specific dependencies. Lingo3G works on any platform supporting Java 1.6 or higher, including Windows, Linux and Mac.
• .NET Framework 3.5 or later required for Lingo3G C# API; Java runtime is not needed for the C# API.
• Synonyms such as photos = pictures = pics = photographs can be defined to further increase the quality of clustering.
• Label filtering can boost or suppress the specified content to e.g. highlight product names or remove abusive language.
• 19 languages supported including English, German, French, Italian, Polish, Russian, Spanish, Chinese Simplified, Korean and Arabic. Lingo3G can automatically detect the language of the documents.
• Based on open source architecture of the Carrot² framework, and can use its components for fetching data from such sources as Bing, Google, Lucene, Solr or Google Desktop index. If you integrated your code with Carrot², switching to Lingo3G will be a breeze.

FAQ

• What is the cost of a Lingo3G license?
• Can I get an evaluation license for Lingo3G?
• Can Lingo3G be integrated with C#?

APIs & Tools