Abstract: A method and system, performed in a processor of a server computing device, of engaging a transitory sentiment community. The method comprises identifying, responsive to monitoring generation of the transitory sentiment community, a critical engagement juncture being reached, the transitory sentiment community including a collective of content consumers, the collective of content consumers providing a sentiment expressive usage associated with a subject of interest, the sentiment expressive usage characterized in accordance with a sentiment intensity rating, and initiating, responsive to the critical engagement juncture being reached, an engagement action directed to at least a subset of the collective of content consumers.

Abstract: A method and system of initiating a subscriber interface at a client subscriber device coupled to a server device. The method comprises receiving, at a memory of the server computing device, a specification identifying at least one sentiment parameter in association with the subscriber computing device, the at least one sentiment parameter being related to a sarcasm sentiment, identifying, within social media content data received at the server computing device, content associated with a subject of interest, the subject of interest defined in accordance with at least one text character string, modifying, upon detecting the sarcasm sentiment within the content associated with the subject of interest as being one of above and below a sarcasm sentiment likelihood threshold, a sentiment classification associated with the at least one sentiment parameter and transmitting, to the subscriber computing device, a notification of the at least one sentiment parameter and the modified sentiment classification.

Abstract: A method and system, performed in a processor of a server computing device, of engaging a transitory sentiment community. The method comprises identifying, responsive to monitoring generation of the transitory sentiment community, a critical engagement juncture being reached, the transitory sentiment community including a collective of content consumers, the collective of content consumers providing a sentiment expressive usage associated with a subject of interest, the sentiment expressive usage characterized in accordance with a sentiment intensity rating, and initiating, responsive to the critical engagement juncture being reached, an engagement action directed to at least a subset of the collective of content consumers.

Abstract: A method and system of generating a transitory sentiment community. The method comprises identifying, in accordance with a supervised trained model, within agglomerated social media content data, content associated with a subject of interest and characterized in accordance with one of a sentiment expressive usage and not a sentiment expressive usage, the subject of interest defined in accordance with at least one text character string; performing, based on an unsupervised trained model in conjunction with content associated with the sentiment expressive usage, a sentiment analysis that determines a sentiment intensity rating associated with at least a portion of the agglomerated social media content data, and generating the transitory sentiment community based at least in part on the sentiment intensity rating.

Abstract: A method and system of initiating a subscriber interface at a client subscriber device coupled to a server device. The method comprises receiving, at a memory of the server computing device, a specification identifying at least one sentiment parameter in association with the subscriber computing device, the at least one sentiment parameter being related to a sarcasm sentiment, identifying, within social media content data received at the server computing device, content associated with a subject of interest, the subject of interest defined in accordance with at least one text character string, modifying, upon detecting the sarcasm sentiment within the content associated with the subject of interest as being one of above and below a sarcasm sentiment likelihood threshold, a sentiment classification associated with the at least one sentiment parameter and transmitting, to the subscriber computing device, a notification of the at least one sentiment parameter and the modified sentiment classification.

Abstract: A method and system of initiating a subscriber interface at a client subscriber device coupled to a server device.

Abstract: A method and system of generating a transitory sentiment community. The method comprises identifying, in accordance with a supervised trained model, within agglomerated social media content data, content associated with a subject of interest and characterized in accordance with one of a sentiment expressive usage and not a sentiment expressive usage, the subject of interest defined in accordance with at least one text character string; performing, based on an unsupervised trained model in conjunction with content associated with the sentiment expressive usage, a sentiment analysis that determines a sentiment intensity rating associated with at least a portion of the agglomerated social media content data, and generating the transitory sentiment community based at least in part on the sentiment intensity rating.

Abstract: A method and system of generating a transitory sentiment community. The method comprises receiving data in a database memory of a server computing device, the data extracted from a plurality of data sources, pre-processing the data based on text character removal and text character replacement, to provide pre-processed data that includes keywords used in a descriptive manner, performing a sentiment analysis on the keywords based at least in part upon a training model, the sentiment analysis identifying a conformance to at least one of a set of sentiment classifications recognized by the training model, and a sentiment intensity rating associated with the conformance, modifying the sentiment intensity rating associated with the sentiment classification upon detecting a sarcasm sentiment above a sarcasm sentiment threshold, and generating the transitory sentiment community based at least in part on the sentiment classification and the modified sentiment intensity rating.

Abstract: A method and system of generating a transitory sentiment community. The method comprises receiving data in a database memory of a server computing device, the data extracted from a plurality of data sources, pre-processing the data based on text character removal and text character replacement, to provide pre-processed data that includes keywords used in a descriptive manner, performing a sentiment analysis on the keywords based at least in part upon a training model, the sentiment analysis identifying a conformance to at least one of a set of sentiment classifications recognized by the training model, and a sentiment intensity rating associated with the conformance, modifying the sentiment intensity rating associated with the sentiment classification upon detecting a sarcasm sentiment above a sarcasm sentiment threshold, and generating the transitory sentiment community based at least in part on the sentiment classification and the modified sentiment intensity rating.

Abstract: A method and system of initiating a subscriber interface at a client subscriber device coupled to a server device.