Abstract: A conversation correlation system is configured to associate social signals with conversations and group the conversations into topic clusters. The topic clusters for different days are linked together to form conversation streams. The conversation streams may identify conversation topics within ecosystems and identify changes in conversation topics over time. Topic labels may be generated for the topic clusters that better describe conversation topics. In one example, the topic labels may be generated using a mutual information topic distribution model.

Abstract: A conversation correlation system is configured to associate social signals with conversations and group the conversations into topic clusters. The topic clusters for different days are linked together to form conversation streams. The conversation streams may identify conversation topics within ecosystems and identify changes in conversation topics over time. Topic labels may be generated for the topic clusters that better describe conversation topics. In one example, the topic labels may be generated using a mutual information topic distribution model.

Abstract: A social analytic system may identify the social signals associated with a brand, campaign, or any other topic. The social analytic system may generate a vocabulary associated with the brand, campaign, or topic based terms used in the associated social signals. The vocabulary may be used for generating social media analytics and identifying social media events, such as marketing campaigns. In one example, a vocabulary may be compared with vocabularies associated with different constituents to identify the positive and negative terms in the vocabulary.

Abstract: A social analytic system may identify the social signals associated with a brand, campaign, or any other topic. The social analytic system may generate a vocabulary associated with the brand, campaign, or topic based terms used in the associated social signals. The vocabulary may be used for generating social media analytics and identifying social media events, such as marketing campaigns. In one example, a vocabulary may be compared with vocabularies associated with different constituents to identify the positive and negative terms in the vocabulary.