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.
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. 17. The system of claim 11 , wherein the system is further configured to: clean the textual content, wherein the cleaning includes at least one of: converting at least one of the detected phrases, and removing at least one of the detected phrases.