Patent Document ID: 9614807
Application ID: 13403937

Base Claim:
1. A method for detecting trends from a set of messages in a network or across networks, the method, comprising: 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; 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; wherein, the commonly or frequently occurring topics are identified through natural language processing including one or more of; identifying social network tokens; identifying nouns, pronouns or unknown words in the set of messages; wherein, the commonly or frequently occurring topics are identified through disambiguation of a given keyword in the set of messages, which has multiple meanings.

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Claim 6:
6. The method of claim 1 , wherein, the set of messages include one or more of, user profiles, user events, user likes or dislikes, status updates, mentions, feeds, tweets, messages associated links, notes, messages associated with video content, messages associated audio content, messages associated photos, web pages, documents, email messages, comments, chat messages.