6. The system of claim 1 , wherein the system is further configured to: determine a context of a plurality of generated phrases.
1. A system for predicting an expected volume of a future trend of term taxonomies of user generated content, comprising: a network interface for accessing at least one data source to receive the user generated connect; a processor; and a memory, wherein the memory contains instructions that, when executed by the processor, configure the system to: generate phrases from the user generated content, the phrases including sentiment phrases and non-sentiment phrases, wherein each of the sentiment phrases includes at least one word describing a sentiment; periodically analyze at least one term taxonomy to determine at least one trend of at least one of the non-sentiment phrases with respect of a plurality of the respective sentiment phrases, wherein the term taxonomy is an association between the non-sentiment phrase and the sentiment phrases; generate a prediction of a future behavior of the at least one trend with respect of the at least one term taxonomy, wherein the behavior of the trend is the number of mentions of phrases related to the trend and the proximity of the phrases from the trend; monitor an actual performance of the at least one trend; compare the actual behavior of the at least one trend and the prediction of future behavior of the at least one trend; and generate a prediction grade respective of the comparison, wherein the prediction grade is indicative of the expected volume of the future trend.