Abstract: Technologies are described herein for determining characteristics of a plurality of people at an event. A method may include receiving location information about a plurality of active mobile phones, receiving sentiment information relating to the plurality of people, the sentiment information including at least one identifier of the event, determining at least one characteristic about the plurality of people based at least in part on the location information and the sentiment information, aggregating the sentiment information, classifying the aggregated sentiment information as either favorable or unfavorable with respect to the event, and calculating a statistical confidence level indicating an extent the aggregated sentiment information of the particular group correlates with the plurality of people. The location information may include at least one identifier of a geographical location and a time period.

Abstract: Technologies are described herein for determining popularity of an individual. A popularity profiling server is used to receive information of the individual, analyze a quantitative data portion of the information, and analyze a qualitative data portion of the information using sentiment analysis. The sentiment analysis uses natural language parsing to separate the qualitative data into parts of speech. The popularity profiling server calculates an initial set of scores for the popularity of the individual based on the analysis of the quantitative data portion and the qualitative data portion of the information, update a ranking for the popularity of the individual in a database, and determine, after waiting a predetermined amount of time, if new data has been updated to the information on the information server. If new information has been updated, an updated set of scores are calculated.

Abstract: Examples of systems and methods for wagering on an artist are disclosed. In one example according to aspects of the present disclosure, a computer implemented method for wagering on an artist includes: obtaining, by an electronic exchange of a wagering system server, an initial value for a metric related to the artist from a popularity profiling system server; receiving, by the electronic exchange, a transaction request from a client computer, wherein the transaction request relates to a wager on a future value of the metric related to the artist; generating, by the electronic exchange, a wager metric related to the transaction; and predicting, by a prediction engine of a wagering system server, the future value of the metric related to the artist based on the initial value of the metric and the wager metric.

Abstract: A set of data pertaining to artists and other content creators is retrieved periodically from various Internet-connected sources, the data being characterized as both quantitative and qualitative data. The data is analyzed through various means, including sentiment analysis, to produce quantitative information, including a score or set of scores, that is descriptive of an artist's popularity as well as the ranking of an artist among other artists within a category or set of categories.

Abstract: A concert profiling server (CPS) obtains and analyzes information about a venue hosting a music concert and mobile phone location information related to the audience members attending the concert. Based on this information, the CPS determines the size of the audience in attendance. The CPS also obtains and analyzes sentiment information related to audience members at the concert with which the CPS determines the audience's sentiment toward the concert as favorable or unfavorable. The CPS further obtains and analyzes other information with which it makes a profile of the demographics of the audience and the audience members' levels of engagement.

Abstract: This invention relates generally to the field of applications for Internet based websites. Moreover, it pertains specifically to a system and method for wagering on an artist. In the preferred embodiment, system participants use an electronic exchange to place wagers related to the popularity profile of an artist.

Abstract: A concert profiling server (CPS) obtains and analyzes information about a venue hosting a music concert and mobile phone location information related to the audience members attending the concert. Based on this information, the CPS determines the size of the audience in attendance. The CPS also obtains and analyzes sentiment information related to audience members at the concert with which the CPS determines the audience's sentiment toward the concert as favorable or unfavorable. The CPS further obtains and analyzes other information with which it makes a profile of the demographics of the audience and the audience members' levels of engagement.

Abstract: A set of data pertaining to artists and other content creators is retrieved periodically from various Internet-connected sources, the data being characterized as both quantitative and qualitative data. The data is analyzed through various means, including sentiment analysis, to produce quantitative information, including a score or set of scores, that is descriptive of an artist's popularity as well as the ranking of an artist among other artists within a category or set of categories.