Features

The World of Relevant Information in the Palm of Your Hand

Published Research

The genesis of Extractor was a thesis exploring the application of artificial intelligence and machine learning. Specifically, how the growing proliferation of information and intellectual property, primarily via the World Wide Web, could be refined and sourced with certainty and relevance. The application of artificial intelligence married with the theories of machine learning would prove effective.

We know and experience today the great results of Dr. Turney's research efforts, now in version 7.2, Extractor is a proven solution providing developers with the tool for better sourcing of information and most importantly its contextual meaning. The scientific research that went into the creation of the Extractor Technology is found in the following published documentation:

¤ Turney, P.D. (2000).: Learning algorithms for keyphrase extraction.; Information Retrieval, 2 (4): 303-336.
¤ Mathieu, J. (1999).: Adaptation of a keyphrase extractor for Japanese text.; Proceedings of the 27th Annual Conference of the Canadian Association for Information Science (CAIS-99),; Sherbrooke, Quebec, pp. 182-189.
¤ Turney, P.D. (1999).: Learning to Extract Keyphrases from Text.; NRC Technical Report ERB-1057, National Research Council Canada.
¤ Turney, P.D. (1997).: Extraction of Keyphrases from Text: Evaluation of Four Algorithms.; NRC Technical Report ERB-1051, National Research Council Canada.

¤ Answering Subcognitive Turing Test Questions: A Reply to French

¤ Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL

The world of relevant information
in the palm of your hand

Features

Evaluate

          online
            sample application
            software development kit

Platform
          operating system
                    Windows
                    Solaris
                    Linux
                    Mac OS
                    HP/UX
                    ...
            development
                    C / C#
                    Java
                    Perl
                    Python
                    Visual Basic

API Functions
Great for...
          workforce optimization
          web log tagging
          refined search
          knowledge management (KM)
          information retrieval (IR)
          semantic web development
          indexing
          categorization
          cataloguing
          inference engines
          document management
          Portal Services

Examples:
          Research
          Internet Communications
          HomeLand Security
          Contextual Web Search
          Document Mangement
          Indexing
          Knowledge Management
          Intellectual Property Filter
          Intelligent Search
          Text Summarization
          Wireless Push Technology

Supporting Documentation