Attitude Inference

摘要

Embodiments relate 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.

主权项

1. A method comprising:
collecting data of attitude towards a target for a plurality of attitude components from social media, and storing the collected data at a first memory location; computing 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 storing the computed attitude features at a second memory location; constructing a statistical model from the collected data and the computed attitude features for each component; and predicting an attitude towards the target across the components from the constructed statistical model, wherein the predicted attitude converts statistical data to a relevant output.