Analyse

Question Answering

The Sintelix Question Answering is an advanced feature that harnesses the power of AI, deep learning, and natural language processing technology to enhance the already formidable search functionality within Sintelix.

Sintelix QA offers a new and exciting way to extract key insights from your datasets. Just tap in your question as you would ask it to another person, and Sintelix will search your documents to find and highlight the answers.

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Text Reference Refinement

The text Reference Refinement tool enables you to review document markup across multiple collections. It is potent for both reviewing and refining markup and for understanding the data. You can group results by tag, text or discover where text is marked up with multiple tags.

Temporal Analysis

Sintelix’s built-in timeline tool allows you to visualize and analyse events over time. You have two levels of magnification and a host of features to expose the information you’re interested in.

This view shows the escalation and fall off in reports of a Russian attack in the Ukrainian war. It also shows the other entities related to the event. You can mouse over to see details.

Spreadsheet for Text

In Sintelix’s Spreadsheet for Text capability, the network table provides a numerical view of an intelligence analysis problem. The system counts indicator patterns in text and evaluates formulas to provide the analysis you need.

In the screen shot below, a collection of documents describing the lead up to the 2003 invasion of Iraq was analysed to identify the lines of influence in the US decision to go to war. The decision was analysed using the Bueno de Mesquita model, which identified the likely decision on the basis of the Influence and Attention of the people involved and the Position they each take on the issue. Here George Bush had by far the highest Influence, he gave the matter high Attention and is position was strongly in favour of invasion – which is what happened.