4. A social media intelligence platform comprising: a. a processor providing an analyst 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; and iv. a fourth software module conducting clustering based on that distance metric; b. the processor further providing a customer dashboard application comprising: i. a fifth software module providing an interface allowing the customer to input a topic; and ii. a sixth software module providing a graphic visualization of the sentiment clusters for the topic.
4. A social media intelligence platform comprising: a. a processor providing an analyst 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; and iv. a fourth software module conducting clustering based on that distance metric; b. the processor further providing a customer dashboard application comprising: i. a fifth software module providing an interface allowing the customer to input a topic; and ii. a sixth software module providing a graphic visualization of the sentiment clusters for the topic. 13. The platform of claim 4 , wherein the number of sentiment clusters is dynamically determined based on the content of the social media communications.