Abstract: Method and system of generating and deploying a tokenized digital asset. The method includes monitoring generation of a sentiment expression in accordance with social media content data, the sentiment expression rendered in association with a sentiment community of interest, generating a sentiment block digital asset in accordance with the sentiment expression and rendering, as a tokenized digital asset, a digital token data file that is a unique representation of the sentiment block digital asset.

Abstract: Method and system of sentiment- based selective engagement of users in a network system. The method includes transmitting a request, over a network system, for engaging users associated with content data authored at least partly in accordance with sentiment expressions, the request including a set of engagement criteria, discovering, responsive to the request, a sentiment block digital asset in accordance with the set of engagement criteria, the sentiment block digital asset being based on the content authored in accordance with one or more sentiment expressions, and engaging the users based on the set of engagement criteria in conjunction with a set of consent rules associated with the at least one sentiment block digital asset.

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 valuing a digital asset. The method comprises monitoring, at a server computing device, generation of a sentiment community in accordance with social media content data rendered at a display interface of a computing device, identifying, in conjunction with indicia of a digital asset referenced in the social media content data, at least one sentiment expression of the sentiment community, and determining a valuation of the digital asset based at least in part on the at least one sentiment expression and a rarity measure, the rarity measure indicating a relative uniqueness of least one attribute of the digital asset.

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.