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, which may be implemented on a system, for detecting trends from a set of messages in a network or across networks. The method can include, 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 set of messages include messages interacted with by humans or machines and interactions can include one or more of, 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.

System and Method for Analyzing Messages in a Network or Across Networks

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.

Natural language processing optimized for micro content

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.

System and method for revealing correlations between data streams

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.

Discovering and ranking trending links about topics

A system automatically and continuously finds and aggregates the most relevant and current information about the people and things that a user cares about. The information gathering is based on current context (e.g., where the user is, what the user is doing, what the user is saying/typing, etc.). The result of the context based information gathering is presented ubiquitously on user interfaces of any of the various physical devices operated by the user.

Contextual based information aggregation system

The present invention relates to a content recommendation method in which pieces of information collected over an IP Multimedia Subsystem (IMS) network are analyzed through data mining, a semantic pattern is identified from the information and described based on ontology, the characteristics of content to be offered are recorded in ontology and language morphological pattern, and a recommendation filter in terms of various viewpoints and methods is operated in an integrated recommendation framework, thus enabling content recommendation suitable for various contexts to be performed. The method includes the steps of receiving user information, creating personal preference information based on the user information, deciding a recommendation strategy based on the preference information for content, combining recommendation functions using the recommendation strategy and the content information, personalizing recommendation results with respect to the combination, and providing the personalized content information. Furthermore, the method for recommending content with context awareness according to the present invention has an advantage in that it can offer more efficient and accurate content to mobile terminal users as a mobile communication network is expanded into an IMS basis and opened and therefore the types and number of content accessible by mobile terminals as well as mobile phones increase abruptly. Furthermore, the method for recommending content with context awareness according to the present invention is advantageous in that it can analogize the life pattern of a mobile terminal user, etc. based on the user's current context information and offers content matching the inferred life pattern at the right time and place.

Ho-Jin Lee

Papers

Apparatus and method for controlling hybrid motor

Method for recommending contents with context awareness