Timothy H Winkler

US Patent:

20130238737, Sep 12, 2013

Filed:

Apr 30, 2013

Appl. No.:

13/873915

Inventors:

Itzhack Goldberg - Hadera, IL
Boaz Mizrachi - Haifa, IL
Timothy P. Winkler - Skokie IL, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

H04L 12/58

US Classification:

709206

Abstract:

A method, system and computer program product for providing a collaborative status message in an instant messaging system. Instant Messaging (“IM”) users that belong to a group are identified. A collaborative status message (e.g., “In Meeting with User 2 and User 3”) is generated that specifies the IM users of the group (e.g., User 2 and User 3) that are participating in an event (e.g., meeting) with an IM user upon the event occurring. The collaborative status message is broadcasted to other IM users. In this manner, more detailed information can be provided to other IM users regarding the status of the IM user in question.

US Patent:

20130304899, Nov 14, 2013

Filed:

May 10, 2012

Appl. No.:

13/468791

Inventors:

Timothy P. Winkler - Skokie IL, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06F 9/455
G06F 15/173

US Classification:

709224, 718 1

Abstract:

Communications between virtual machines are monitored to identify virtual machines that have an affinity with each other, such as where the virtual machines have greater than a threshold of communication between each other. An affinity table tracks virtual machines having an affinity relationship and is referenced upon start-up or migration of a virtual machine so that a starting-up or migrating virtual machine will run on the same processing resource as virtual machines with which it has an affinity relationship.

US Patent:

20150170051, Jun 18, 2015

Filed:

Dec 12, 2013

Appl. No.:

14/104811

Inventors:

- Armonk NY, US
Timothy P. Winkler - Skokie IL, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06N 99/00

Abstract:

A mechanism is provided in a data processing system for applying a genetic algorithm to semantic sentiment analysis. The mechanism provides a sentiment analysis model to a sentiment analysis algorithm. The mechanism trains the sentiment analysis model using a genetic algorithm based on a training corpus of documents with corresponding desired sentiment analysis values for a given domain to form a trained sentiment analysis model. The mechanism performs the sentiment analysis algorithm on an input document using the trained sentiment analysis model to form a domain-specific sentiment analysis result. The mechanism outputs the domain-specific sentiment analysis result.