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.