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Samples hand-labeled as positive or negative. 2000 Text Classification 2014 [53] [54] N. Abdulla Buzz in Social Media Dataset Data from Twitter and Tom's Hardware. This dataset focuses on specific buzz topics being discussed on those sites. Data is windowed so that the user can attempt to predict the events leading up to social media buzz ...
Aerial Image Segmentation Dataset 80 high-resolution aerial images with spatial resolution ranging from 0.3 to 1.0. Images manually segmented. 80 Images Aerial Classification, object detection 2013 [149] [150] J. Yuan et al. KIT AIS Data Set Multiple labeled training and evaluation datasets of aerial images of crowds.
Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. Marketing provides services to satisfy customers.
Claritas PRIZM Premier is a set of geo-demographic segments for the United States, developed by Claritas Inc., which was owned under The Nielsen Company umbrella from 2009 to 2016.
Market segmentation is the process of dividing mass markets into groups with similar needs and wants. [2] The rationale for market segmentation is that in order to achieve competitive advantage and superior performance, firms should: "(1) identify segments of industry demand, (2) target specific segments of demand, and (3) develop specific 'marketing mixes' for each targeted market segment ...
Monetary = the highest value of all purchases by the customer expressed in relation to some benchmark value For example, if the monetary benchmark allocated a score of 10 to annual spend over $500, for a customer who had made three purchases in the last year, the most recent being 3 months ago, and spent $600 in the year, their scores would be ...
Large, undifferentiated datasets may include a variety of user types and time periods. Cohort analysis analyzes the users of each cohort separately. In cohort analysis, "each new group [cohort] provides the opportunity to start with a fresh set of users," [ 5 ] allowing the company to look at only the data that is relevant to the current query ...
This information is valuable as it provides demographic, behavioral, and value-based customer segmentation. These types of relationships can be both positive and negative. Some customers view themselves as friends of the brands, while others as enemies, and some are mixed with a love-hate relationship with the brand.