shwethag / twittersalientnamedentity

This project involves identification of Named entities in tweets and fetching Salient named entity among them

TwitterSalientNamedEntity

A named entity is a term or phrase that identifies an object from a set of other objects with similar attributes.

In data mining, a named entity is a phrase that clearly identifies one item from a set of other items that have similar attributes.

Examples of named entities are first and last names, geographic locations, ages, addresses, phone numbers, companies and addresses. Named entities are often mined for marketing initiatives.

This project involves identification of Named entities in tweets and fetching Salient named entity among them

​ Unlike carefully authored news text and other longer content, tweets pose a number of
new challenges, due to their short, noisy, context­dependent, and dynamic nature. We propose a
solution to the problem of determining what a tweet is about through semantic linking: we add
semantics to tweets by automatically identifying concepts that are semantically related to it and
conduct an empirical analysis of named entity recognition and disambiguation. The identified
concepts can subsequently be used for, e.g., social media mining, thereby reducing the need for
manual inspection and selection.