Microsoft Technology Licensing, LLC

Other

Ling Bao

Christoph Ponath

Zheng Chen

Tomas Talius

Jian-Tao Sun

Jian Hu

Ian A McAllister

Jianmin Wu

Qionghua Wang

Steven J Hanks

Bryan MacFarlane

Valeri N Tolkov

A method of ranking a plurality of products includes obtaining a numerical user score for each of the plurality of products, calculating an opinion score for each of the plurality of products for which a written comparison sentiment applies, determining a final score by combining the numerical user rating and the opinion score for each of the plurality of products, and ranking the plurality of products based on the final score. The opinion score is derived from one or more written comparison sentiments containing a first product name and a second product name. In another aspect, a computer readable medium has instructions stored thereon which, when executed, cause a computer to perform a method of ranking a plurality of products including at least a first product and a second product.

Ranking products by mining comparison sentiment

A method for work-item tracking, in a computer system that includes client computers and at least one server maintaining a database, includes defining at least one work item, associating version identifiers with corresponding versions of at least one work item, and storing, in the database, work-item data. The work-item data can include the current version of the work item, one or more prior versions of the work item, and the version identifiers. A computer readable medium is encoded with a program that, when executed, can perform the method for work-item tracking.

Method and system for tracking of work-item revisions

Methods and systems for extraction and summarization of sentiment information related to a particular research subject are disclosed. A method includes accessing sources of information that contain sentiment information that is related to the research subject and extracting the sentiment information from the sources of information as opinions related to the research subject. Opinion categories related to features of the research subject are identified. From this information a summarization of the sentiment information that is related to the particular research subject that includes the identified opinion categories is generated. Subsequently, access is provided to the summarization for graphical presentation.

Extraction and summarization of sentiment information

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Ling Bao