1. A method for assessing sentiment of text, the method comprising using at least one programmed computer to perform steps including: collecting a plurality of user reviews from a plurality of websites, each user review associated with a rating value of a plurality of rating values; identifying parts of text from the plurality of user reviews; determining a distribution of each part of text across the plurality of rating values; calculating, based on the distribution, a probability score representing a probability of a strength of each part of the parts of text for a corresponding rating value of the plurality of rating values; storing the parts of text, the distributions, and the probability scores in a training corpus; receiving a block of text associated with a new review; extracting one or more parts from the received block of text, where the parts are identified as a first type; accessing the training corpus to identify probability scores associated with the parts; performing a central tendency calculation for the new review by evaluating the probability scores associated with the parts; and assigning an orientation value to the new review based at least on the central tendency calculation, the orientation value reflecting sentiment of the received block of text, wherein the probability of the strength of a part of text for a particular rating value is degraded by the probabilities of the strength of that part of text for other rating values.
1. A method for assessing sentiment of text, the method comprising using at least one programmed computer to perform steps including: collecting a plurality of user reviews from a plurality of websites, each user review associated with a rating value of a plurality of rating values; identifying parts of text from the plurality of user reviews; determining a distribution of each part of text across the plurality of rating values; calculating, based on the distribution, a probability score representing a probability of a strength of each part of the parts of text for a corresponding rating value of the plurality of rating values; storing the parts of text, the distributions, and the probability scores in a training corpus; receiving a block of text associated with a new review; extracting one or more parts from the received block of text, where the parts are identified as a first type; accessing the training corpus to identify probability scores associated with the parts; performing a central tendency calculation for the new review by evaluating the probability scores associated with the parts; and assigning an orientation value to the new review based at least on the central tendency calculation, the orientation value reflecting sentiment of the received block of text, wherein the probability of the strength of a part of text for a particular rating value is degraded by the probabilities of the strength of that part of text for other rating values. 7. The method of claim 1 , wherein the assigned orientation value is utilized to determine whether to display the received block of text to a user.