Hi Author, To answer your questions: Answer 1: Yes, the strings represent the cluster descriptors Answer 2: The plus symbols represent the parent terms Answer 3: No, at least not explicitly via editing the raw sas7bdat file.  However, the contents of the fields can be adjusted by adding to the proceeding Text Parsing node's stop list and then re-run the workflow. Thank you, Michael Wallis ... View more

Hi JuliaM, There are a variety of algorithms that have been used in SAS Content Categorization, many of which are proprietary implementations.  In general, SAS Content Categorization uses algorithms from finite state automata (FSA) while others are based on graph theory leveraging various searching approaches (e.g., depth first search).  Other more widely known algorithms include using frequent phrase extraction and maximum entropy classification. Do you have any specific parts of SAS Content Categorization that you are interested in knowing more about with respect to algorithms in use?  I can help in this sense by narrowing in to a smaller scope. Thank you! Michael Wallis ... View more

Hi Johannes, My apologies for the delay in responding as I was awaiting feedback from appropriate personnel regarding how best to move forward on this issue. At this point, I believe the SAS Germany office will need to step in to handle this request. There may be an obstacle to get around.  According to SAS contracts/GIDB, only 12.1 was provided (no indication of 5.2). The SAS Germany office will not be able to provide software for version 5.2  (that office will touch back to SAS HQ for such a request).  However, since you already have 5.2, then I believe an extension of the SETINIT license file will be what is required.  I am currently awaiting feedback as to which office would be best to handle a SETINIT extension.  Either way, it would be best to have SAS Germany involved at this point. Please email me at michael.wallis@sas.com so that I may further help establish contact between you and a SAS Germany representative. Thank you, Michael ... View more

Johannes, The SAS Content Categorization Server 5.2 release was shipped without the client API.  A separate client API package was created for users to download.  When looking at the most recent release of this product (12.2), the client APIs are bundled together with the server download, which includes both Java and Python.  There are also client APIs available as separate downloads that target C# and Perl. Do you know when your software license will expire?  I am guessing your SETINIT files are still valid but your software order download link is not available. UPDATE: Can you also provide me with your order number and/or tech support number (if you have one)?  I would like to help you gain access to the Java SDK download and with such information made available, I may be able to help. Thanks, Michael ... View more

Johannes, Can you tell me what version of SAS Content Categorization you are using?  This will help me to narrow in on past product releases and to further examine what was distributed at that time. Thanks, Michael ... View more

Hello Johannes, Can you access the CatCon server installation folder?  There should be a client_api folder present that will contain the various client APIs (e.g., java, python, etc.).  The java version should have a corresponding jar file for containing the types necessary for communicating with the CatCon server. In addition, to your "ConCatServer-API" not being licensed, are you referring to not having (or an expired) SETINIT license?  The CatCon server should execute as a dedicated service (e.g., Windows service, cron job, etc.).  Can you verify if this is the case? Thank you, Michael ... View more

Hi there and welcome all to the SAS Text and Content Analytics Community! My name is Michael D. Wallis and I am an SAS Analytics Consultant, operating out of the Advanced Analytics division, specifically within the Text Analytics group.  In this role, I provide direct support for both internally and externally facing personnel (e.g., SAS pre-sales, consulting, PSD, etc.) regarding any and all things "Text Analytics."  Coming from the perspective of R&D, my work focuses on applied use of all SAS Text Analytics products and to understand what underlying algorithms, technological requirements, and research efforts go into our products and solutions. My background includes 15 years of active software development and research in the areas of natural language processing, computational linguistics, machine learning, and data mining.  I completed both my B.S and M.S. programs in Computer Science at North Carolina State University. I look forward to actively participating in this forum and to the opportunities for engaging one another for both collaborative learning and support. Thank you, Michael D. Wallis ... View more