Estimating Costs of behavioral Targeting
Systems ( 490 ), methods ( 100, 200 ), and computer-readable and executable instructions ( 324, 424 ) are provided for estimating costs of behavioral targeting. Estimating costs of behavioral targeting can include scoring a topic with a behavioral targeting model ( 101, 201 ). Estimating costs of behavioral targeting can also include obtaining a plurality of data items including geographic location information ( 102, 202 ). Estimating costs of behavioral targeting can also include detecting ( 104, 204 ) and scoring ( 209 ) a sentiment from filtered data items regarding a topic within a region ( 104, 204 ). Estimating costs of behavioral targeting can include computing a penalty score for the topic in the region in response to the scored sentiment exceeding a threshold ( 213 ), ( 106, 206 ). Estimating costs of behavioral targeting can include adjusting the topic score in the region according to the penalty score ( 108, 208 ). Furthermore, estimating costs of behavioral targeting can include taking an action with respect to advertising based on the adjusted topic score ( 110, 210 ).
1 . A computer-implemented method for estimating a cost of misclassification in a behavioral targeting model comprising:
scoring a topic with a behavioral targeting model;
obtaining a plurality of data items including geographic location information;
detecting and scoring a sentiment from filtered data items regarding a topic within a region;
computing a penalty score for the topic in the region in response to the scored sentiment exceeding a threshold;
adjusting the topic score in the region according to the penalty score; and
taking an action with respect to advertising based on the adjusted topic score.
2 . The method of claim 1 , wherein the method includes mapping the scored sentiment geographically by interpolating between the scored data items to fill the geographic mapping.
3 . The method of claim 1 , wherein the method includes interpolating between the scored data items to smooth the geographic mapping.
4 . The method of claim 1 , wherein the plurality of data items includes at least one of a social media message, a text message, a telephone call, an electronic mail message, a voicemail message, and an answering machine message.
5 . The method of claim 1 , wherein the method includes filtering the data items by topic according to metadata.
6 . The method of claim 1 , wherein the method includes filtering the data items by a region including at least one of monitoring IP addresses, monitoring cellular towers, monitoring content of a social media message, monitoring content of a text message, and monitoring global tracking on portable devices.
7 . The method of claim 1 , wherein detecting sentiment includes applying a sentiment dictionary to content of the plurality of data items.
8 . The method of claim 7 , wherein the method included adjusting the sentiment dictionary in response to changes in sentiment.
9 . The method of claim 1 , wherein taking an action with respect to advertising includes deciding whether or not to place an advertisement.
10 . The method of claim 1 , wherein taking an action with respect to advertising includes making a recommendation of whether or not to place an advertisement.
11 . The method of claim 1 , wherein taking an action with respect to advertising includes weighing the adjusted topic score relative to data specific to a user indicating that the sentiment of the user conflicts with the adjusted topic score.
12 . A non-transitory computer-readable medium storing a set of instructions for estimating a cost of misclassification in a behavioral targeting model executable by the computer to cause the computer to:
score a topic with a behavioral targeting model;
obtain a plurality of data items including geographic location information;
filter the plurality of data items by a topic and a region;
detect a sentiment from the filtered data items regarding the topic within the region, wherein a sentiment dictionary is applied to the plurality of data items;
score the sentiment of the filtered data items regarding the topic in the region;
map the scored sentiment geographically, wherein interpolation is used to fill and smooth gaps in the geographic map of the scored sentiment;
compute a penalty score for the topic in the region in response to a scored sentiment that exceeds a threshold;
adjust the topic score in the region according to the penalty score; and
take an action with respect to advertising based on the adjusted topic score.
13 . The computer-readable medium of claim 12 , wherein the plurality of data items includes at least one of a social media message, a text message, a telephone call, an electronic mail message, a voicemail message, and an answering machine message.
14 . The computer-readable medium of claim 12 , wherein the plurality of data items are filtered by hashtags.
15 . A system for estimating a cost of misclassification in a behavioral targeting model, the system having a processor and memory for storing executable instructions that are executable by the processor to:
score a topic with a behavioral targeting model;
obtain a plurality of data items including geographic location information;
filter the plurality of data items by a topic and a region according to hashtags;
detect a sentiment from the filtered data items regarding the topic within the region by use of a sentiment dictionary that can be adjusted to respond to changes in sentiment;
score the sentiment of the filtered data items regarding the topic in the region;
map the scored sentiment geographically, wherein interpolation is used to fill gaps in the geographic map of the scored sentiment;
compute a penalty score for the topic in the region in response to a scored sentiment that exceeds a threshold;
adjust the topic score in the region according to the penalty score; and
take an action with respect to advertising based on the adjusted topic score.