How does it work?

First, let Lingo4G index all documents you'd like to process. Then, you can make requests to analyze subsets of the index to get topics and clusters.

(Which is much like an enterprise search engine needs to index documents before you can search them.)

You can get started with Lingo4G in three simple steps.

  1. Prepare your data

    Convert your documents to a key-value JSON format, write a project descriptor JSON file to define fields in your documents.

    Lingo4G can also extract and index contents of PDF, Word, HTML and plain text files.

    Alternatively, start with some built-in data sets: Stack Exchange Q&A data, PubMed Open Access articles, clinicaltrials.gov reports, IMDb movie descriptors, research.gov grant descriptions, Wikipedia or US patents.

    For production use, you may want to develop a custom document source to make the most of the structure of your data.

    [
      {
        "id": "97",
        "title": "What Windows services can I safely disable?",
        "question": "I'm trying to improve the boot time and general performance of a Windows XP machine. Are there any services that I can safely disable?",
        "tag": [ "windows", "services" ],
        "comments": 8,
        "views": 4808,
        "acceptedAnswer": "Black Viper maintains what is considered by many the definitive guide to Windows services. http://www.blackviper.com/​category/​guides/​service-configurations/​\n"
      },
    
      {
        "id": "366",
        "title": "How do you map a Mac keyboard to PC layout?",
        "question": "ay I have a Mac keyboard and want to use it on a PC. Some of the keys aren't quite right. How do I map them correctly?",
        ...
      },
    
      {
        ...
      }
      ...
    ]
  2. Index the data

    Let Lingo4G preprocess the data first, much like a search engine needs to index documents before they are searchable:

    $ l4g index -p your-project.json

    On modern hardware indexing speed is in the order 200–2000 MB of text per minute.

  3. Analyze

    Start Lingo4G REST API server:

    $ l4g server -p your-project.json

    Make REST API calls to run topic extraction and document clustering on any subset of your data set or the whole collection.

    Use Lingo4G Explorer application to experiment with topic extraction and clustering.

Questions & Answers

Is Lingo4G an end-user product?

No. Lingo4G was designed as a software component rather than a complete end-user application. The primary use case for Lingo4G is integration into larger software suites. Therefore, some programming experience will be required to get started and to use Lingo4G.

Having said that, Lingo4G comes with a GUI application, called Lingo4G Explorer, meant to allow rapid experiments and tuning of topic extraction and clustering. If Lingo4G Explorer meets the needs of your end users, feel free to use it. One thing to bear in mind is that our primary focus is on the underlying topic extraction and clustering algorithms, developing and extending Lingo4G Explorer is a lower priority.

What does near real-time processing mean?

Near real-time processing means that in most cases Lingo4G will be able to extract topics for a subset of documents in your index within seconds, regardless of the size of the subset. Clustering of tens or hundreds of thousands of documents may take several minutes.

To achieve near real-time performance during analysis, Lingo4G needs to index your collection first. Indexing is a one-time process where the initial text processing (tokenization, label extraction) is applied. On modern hardware, indexing speed is in the order of 200–500 MB per minute.

The performance of both indexing and analysis is crucially dependent on the technology used to store Lingo4G index. To maximize performance and CPU utilization, use fast SSD drives.

Can I add, update or remove documents from an existing Lingo4G index?

Yes. With Lingo4G version 1.7.0 or later you can add, update and delete without re-indexing the whole collection.

Does Lingo4G come as an Elasticsearch or Solr plugin?

No. Lingo4G is standalone software that manges its own index. The index contains Lingo4G-specific data that is not typically present in indices created by enterprise search engines. Therefore, Lingo4G will have to run in parallel to an Elasticsearch or Solr instance you might already have. As a result, the same will be stored separately in the two systems.

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