Abstract: Systems and methods for analyzing messages in a network or across networks are disclosed. In one aspect, embodiments of the present disclosure include a method, for detecting trends from a set of messages in a network or across networks, identifying, from the set of messages in the network or across networks, commonly or frequently occurring topics, computing statistical attributes for the commonly or frequently occurring topics in the set of messages that indicate respective levels of trendiness, and/or presenting, the commonly or frequently occurring topics as indicators in a user interface, the indicators being actionable to access additional information relating to a selected topic via the action. The messages include messages interacted with by humans or machines and interactions can include, posted a message, shared a message, liked a message, commented on a message, replied to a message, viewed a message, saved or bookmarked a message.

Abstract: A system and a method for microcontent natural language processing are presented. The method comprising steps of receiving a microcontent message from a social networking server, tokenizing the microcontent message into one or more text tokens, performing a topic extraction on the microcontent message to extract topic metadata, generating sentiment metadata for the microcontent message, analyzing co-occurrence of all available metadatas in the plurality of microcontent messages, producing a list that ranks the plurality of microcontent messages based on all available topic metadata, and compiling a trend database that reveals how perception of users of the social networking server on a given topic changes by tracking how the list changes over time.

Abstract: A system and a method for discovering and ranking trending links about topics are presented. The method comprises steps of receiving a plurality of messages from a social networking server, identifying a plurality of trending objects from the plurality of messages, generating at least one trending score for each trending object of the trending objects, and presenting a list of the trending objects based on the trending scores.

Abstract: A system and a method for discovering and ranking trending links about topics are presented. The method comprises steps of receiving a plurality of messages from a social networking server, identifying a plurality of trending objects from the plurality of messages, generating at least one trending score for each trending object of the trending objects, and presenting a list of the trending objects based on the trending scores.

Abstract: A system and a method for microcontent natural language processing are presented. The method comprising steps of receiving a microcontent message from a social networking server, tokenizing the microcontent message into one or more text tokens, detecting the language of the microcontent message and selecting the property dictionary for part-of-speech tag, part-of-speech tagging the microcontent message to identify related pronouns and nouns based on the selected dictionary, and extracting topics form the microcontent messages and assigning confidence values to the topics.

Abstract: The disclosed techniques can provide users with a tool having an integrated, user-friendly interface and having automated mechanisms which can reveal correlations between data streams to the users in a clear and easily understandable way, thereby enabling the users to easily digest the vast amount of information contained in activities within one or more network, to understand the correlations among the activities, to stay informed and responsive to current or new trends, and even to predict future trends. Among other benefits, the disclosed techniques are especially useful in the context of discovering impacts of social networking activities on other types of commercial activities.

Abstract: The disclosed techniques can provide users with a tool having an integrated, user-friendly interface and having automated mechanisms which can reveal correlations between data streams to the users in a clear and easily understandable way, thereby enabling the users to easily digest the vast amount of information contained in activities within one or more network, to understand the correlations among the activities, to stay informed and responsive to current or new trends, and even to predict future trends. Among other benefits, the disclosed techniques are especially useful in the context of discovering impacts of social networking activities on other types of commercial activities.

Abstract: A system and a method for microcontent natural language processing are presented. The method comprising steps of receiving a microcontent message from a social networking server, tokenizing the microcontent message into one or more text tokens, detecting the language of the microcontent message and selecting the property dictionary for part-of-speech tag, part-of-speech tagging the microcontent message to identify related pronouns and nouns based on the selected dictionary, and extracting topics form the microcontent messages and assigning confidence values to the topics.

Abstract: The disclosed techniques can provide users with a tool having an integrated, user-friendly interface and having automated mechanisms which can reveal correlations between data streams to the users in a clear and easily understandable way, thereby enabling the users to easily digest the vast amount of information contained in activities within one or more network, to understand the correlations among the activities, to stay informed and responsive to current or new trends, and even to predict future trends. Among other benefits, the disclosed techniques are especially useful in the context of discovering impacts of social networking activities on other types of commercial activities.

Abstract: A system and a method for microcontent natural language processing are presented. The method comprising steps of receiving a microcontent message from a social networking server, tokenizing the microcontent message into one or more text tokens, detecting the language of the microcontent message and selecting the property dictionary for part-of-speech tag, part-of-speech tagging the microcontent message to identify related pronouns and nouns based on the selected dictionary, and extracting topics form the microcontent messages and assigning confidence values to the topics.

Abstract: Targeted advertising based on trending aggregated personalized information streams is disclosed. The method of targeted advertising, which can be implemented on a system includes receiving a topic from a user, wherein the user wants to present advertisements on social media platforms related to the topic, retrieving social media messages that relates to the topic from the social media platforms, identifying trending keywords associated with the social media messages that relates to the topic, and/or presenting the advertisement including the trending keywords on the social media platforms.

Abstract: Techniques are disclosed for predicting momentum of topic in the future in automatically optimizing placement of promotional items or content (e.g., advertisements) in a network. An example method comprises selecting a group of users from a user population in a network based on, for example, a degree of association between (i) multiple key words and (ii) profile data or past activities from the user population. The method further comprises monitoring activities performed in the network by the group of users. The method further comprises identifying a topic from the activities, and determining momentum for the topic. The method further comprises predicting a future momentum for the identified topic based on observing additional topics which are related to the identified topic and have momentums with a rate of growth that exceeds a positive or negative threshold.

Abstract: Techniques are disclosed for dynamically placing, scheduling, and adjusting promotional items based on momentum of activities of a targeted audience in a network. An example method comprises selecting a group of users from a user population in a network. The selection can be based on a degree of association between (i) multiple key words and (ii) profile data or past activities from the user population. The method further comprises monitoring activities performed in the network by the group of users. The method further comprises identifying a topic from the activities. The method further comprises determining momentum for the topic. The momentum can be proportional to (i) a number of how many users whose activities mention the topic and (ii) a frequency of how often the topic is mentioned. The method further comprises selectively delivering promotional content to the group of users based on the momentum for the identified topic.

Abstract: A system and a method for discovering and ranking trending links about topics are presented. The method comprises steps of receiving a plurality of messages from a social networking server, identifying a plurality of trending objects from the plurality of messages, generating at least one trending score for each trending object of the trending objects, and presenting a list of the trending objects based on the trending scores.

Abstract: Targeted advertising based on trending aggregated personalized information streams is disclosed. The method of targeted advertising, which can be implemented on a system includes receiving a topic from a user, wherein the user wants to present advertisements on social media platforms related to the topic, retrieving social media messages that relates to the topic from the social media platforms, identifying trending keywords associated with the social media messages that relates to the topic, and/or presenting the advertisement including the trending keywords on the social media platforms.

Abstract: A system and a method for trending of aggregated personalized information streams and multi-dimensional graphical depiction thereof are disclosed. The method, which may be embodied on a system, includes retrieving a plurality of social media objects that relates to a focused social media object from social media sites; determining relationships between the social media objects; and/or presenting, at a graphic interface, a network diagram including nodes and lines. In one embodiment, each individual node of the nodes represents one of the social media objects. Each individual line of the lines represents one of the relationships between two of the social media objects that are represented by two of the nodes being connected by the individual line.