Attitude Inference
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Abstract
Embodiments relate to a tool for predicting an attitude of a user towards a target without directly surveying the user. Social media data associated with or related to a target is collected and stored. A set of attitude features are computed from the collected data. A statistical model is built with both the collected data and the assessed attitude features. The statistical data is converted to an attitude prediction, with the prediction emanating from personal and social characteristics as evident in the social media data.
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Citations
18 Claims
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1. (canceled)
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2. (canceled)
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3. (canceled)
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4. (canceled)
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5. (canceled)
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6. (canceled)
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7. A computer program product comprising a computer readable storage device having computer readable program code embodied therewith, the program code when executed on a processor causes the computer to:
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collect data of attitude towards a target for a plurality of attitude components from social media, and store the collected data at a first memory location; compute a set of attitude features from the collected data associated with the attitude components, the features comprising;
n-gram computed from textual communications, general and context based sentiment, recency of mention of a target, and frequency of mention of the target, and store the computed attitude features at a second memory location;construct a statistical model from the collected data and the computed attitude features for each component; and predict an attitude towards the target across the components from the constructed statistical model, wherein the predicted attitude converts statistical data to a relevant output. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A system comprising:
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a processing unit operatively coupled to memory; a tool in communication with the processing unit to predict attitude to a target, including; a collector to collect data of attitude towards a target for a plurality of attitude components from social media, and to store the collected data at a first memory location; a manager to compute a set of attitude features from the collected data associated with the attitude components, the features comprising;
n-gram computed from textual communications, general and context based sentiment, recency of mention of a target, and frequency of mention of the target, and to store the computed attitude features at a second memory location; andthe manager to construct a statistical model from the collected data and the computed attitude features for each component; and an attitude prediction towards the target as output from the statistical model, wherein the attitude prediction is converted from statistical data to a relevant output. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification