11. A system for predicting user behaviors based on term taxonomies, comprising: a processing circuitry; and a memory, wherein the memory contains instructions that, when executed by the processing circuitry, configure the system to: analyze textual content to detect a plurality of phrases in the textual content; identify each of the detected phrases as any of: a sentiment phrase, and a non-sentiment phrase, wherein each sentiment phrase includes at least one word describing a sentiment; associate each identified non-sentiment phrase with at least one of the identified sentiment phrases to create at least one term taxonomy; analyze the at least one term taxonomy to determine whether each identified non-sentiment phrase is associated with any of: a highly positive sentiment, and a highly negative sentiment; and generate an alert, when it is determined that one of the non-sentiment phrases is associated with any of: a highly positive sentiment, and a highly negative sentiment.
18. The system of claim 11 , wherein the system is further configured to: identify at least one connection between at least two of the detected phrases, wherein the at least one term taxonomy is created further based on the identified at least one connection.