Out of the box, Inxight ThingFinder automatically identifies and extracts more than 35 key entities - such as people, dates, places, companies or other things - from any text data source, in multiple languages. This ability to automatically identify and classify relevant entities makes ThingFinder one of the most powerful text analysis and extraction tools on the market. Using Inxight ThingFinder, developers can maximize and extend the value of their applications by enabling end-users to quickly find the most important pieces of information within large volumes of documents.

Business Benefits
ThingFinder can be integrated into virtually any application that processes textual information, enabling users to create relevant, meaningful structured data from unstructured data to:

• Combine the most relevant information in unstructured data with structured data to generate the reports and statistics that drive business.
• Find all references to products and people in customer service logs and e-mails - automatically - and store them in your CRM database.
• Discover all company and brand mentions for competitive analysis and business intelligence.
• Create link analysis and business intelligence applications that monitor trends and movements associated with people, places, dates and companies.
• Mine large volumes of text for relevant information and quickly identify trends in data sets.
• Help classify data in Information Lifecycle Management (ILM) applications.

These capabilities make Inxight ThingFinder an essential tool for information discovery applications, including publishing, categorization, link analysis, data and text mining, business intelligence, customer service, content management, and more.

ThingFinder Professional
Inxight ThingFinder Professional extends the power of Inxight's industry-leading entity extraction by enabling the definition of custom, pattern-based entities and facts to:

• Define custom relationship and event types that are unique to your data sets and business needs.
• Discover entities and concepts based on patterns rather than lists of known entities.
• Extend entity and concept discovery to more than 30 major languages.
• Use contextual information to disambiguate entities.
• Leverage ThingFinder's predefined entities and/or customized vocabulary files in your rules.

Enriched with deep understanding of natural language, ThingFinder Professional can extract such custom entities as date/timestamps, chemical compound names or formulae, serial or part numbers, and internal project codes. It can also extract custom facts such as merger and acquisition events, company contact information, brand co-occurrence or medication adverse effects, among many other types of facts. For instance, instead of maintaining a list of part and model numbers, ThingFinder Professional can help users automatically extract and discover all numbers conforming to a pattern.

Languages Supported
Arabic, Bokmål, Catalan, Croatian, Czech, Danish, Dutch, English, Farsi, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Japanese, Korean, Nynorsk, Polish, Portuguese, Romanian, Russian, Serbian, Simplified Chinese, Slovak, Slovenian, Spanish, Swedish, Thai, Traditional Chinese and Turkish.