A method for determining a sentiment associated with an entity includes inputting a plurality of texts associated with the entity, labeling seed words in the plurality of texts as positive or negative, determining a score estimate for the plurality of words based on the labeling, re-enumerating paths of the plurality of words and determining a number of sentiment alternations, determining a final score for the plurality of words using only paths whose number of alternations is within a threshold, converting the final scores to corresponding z-scores for each of the plurality of words, and outputting the sentiment associated with the entity.
A method for determining a sentiment associated with an entity includes inputting a plurality of texts associated with the entity, labeling seed words in the plurality of texts as positive or negative, determining a score estimate for the plurality of words based on the labeling, re-enumerating paths of the plurality of words and determining a number of sentiment alternations, determining a final score for the plurality of words using only paths whose number of alternations is within a threshold, converting the final scores to corresponding z-scores for each of the plurality of words, and outputting the sentiment associated with the entity.
Thomas A. Lasko - Nashville TN, US Andrew Tomkins - San Jose CA, US Michael Angelo - San Francisco CA, US Matthew K. Gray - Reading MA, US Russell Ryan - Cambridge MA, US Namrata U. Godbole - Cambridge MA, US Roni F. Zeiger - Mountain View CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30 G06F 7/00
US Classification:
707726, 707802
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying entities using search results. One of the methods includes the actions of determining that a first search query includes a respective text reference to each of one or more predetermined attributes, wherein each attribute is associated with a first entity type; generating a second search query including the first search query and one or more terms that refer to the first entity type; and evaluating search results obtained for the second search query to select one or more names of entities of the first entity type to include in a response to the first search query.
- Mountain View CA, US Grant Dasher - Cambridge MA, US Matthew K. Gray - Reading MA, US Steven D. Baker - Palo Alto CA, US Namrata U. Godbole - Cambridge MA, US Samer Hassan Hassan - San Jose CA, US Ionut Georgescu - San Francisco CA, US
International Classification:
G06F 17/30
Abstract:
Methods and systems for providing an image with an answer to a question query. A method receiving a first query that is determined to be a question query; generating a second query form the first query; causing a search of a plurality of resources of a first corpus using the second query as input, wherein the first corpus of resources are resources that include images and textual data rendered with the images; receiving data indicating a set of resources determined to be responsive to the second query; causing a search for images in the set of resources; selecting, from the set of images and based in part on the search for images in the first set of resources, an image to be provided with the answer in response to the query; and providing, by the data processing apparatus, and with the answer, the image in response to the first query.
Google Inc. - , US Thomas W. Colthurst - Somerville MA, US Namrata U. Godbole - Cambridge MA, US Russell J. Ryan - Cambridge MA, US Matthew K. Gray - Reading MA, US Marius G. Andrei - New York NY, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying an image for an entity. In one aspect, a method includes identifying a set of resources. Each resource can include at least one image and reference at least one entity. Each image is assigned to a particular entity based on an overall entity scores for the image relative to the entities. The overall entity score for an image and an entity can specify a measure of topical relatedness between the image and the entity. For each individual entity referenced by at least one of the resources, a group of images that have been assigned to the individual entity is identified. An image evocative of each individual entity is selected from the group based on image rank scores. The image rank score for an image can be determined based on visual characteristics of the image.
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