16. A computer-implemented social media intelligence system comprising: a. a digital processor performing a computer program comprising executable instructions stored on a memory device; b. the computer program providing a social media intelligence application comprising: i. a first software module obtaining real-time social media conversations; ii. a second software module automatically classifying, categorizing and summarizing expressed emotions in said real-time social media conversations by using a knowledge base of emotional words, or phrases, or both words and phrases as an input, wherein the knowledge base comprises a list of emotional tokens and pairwise token distance using a degree of similarity, each pair associated with a valence and arousal score expressed on a scale; iii. a third software module defining a continuous distance metric between said real-time social media conversations comprising same or different number of the emotional tokens utilizing an expand-align-compare (EAC) algorithm; iv. a fourth software module conducting hierarchical clustering based on that distance metric; and vi. a fifth software module outputting a result associated with said hierarchical clustering.
20. The system of claim 16 , wherein the knowledge base further comprises words or phrases not expressing sentiment.