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Twitter Domain Expert Detection

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Overview

•Tweets cover most topics of interest•Many experts from different domains use twitter to express their opinions or talk about new findings in their field of interest•Domain Experts provide access to:

–New topics and trends–High quality content via Links–Comments on current events

ARCOMEM, Domain Experts Training material

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Detecting Domain Experts

•Workflow for finding Domain Experts1.Tweets are enriched with Wikipedia Articles2.Articles are related to Wikipedia categories3.The categorie graph is used to define top categories4.Aggregation of categoies mentioned by a user builds the userprofile5.Domain Experts are identified by their user profile

ARCOMEM, Domain Experts Training material

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Annotation - Wikipedia Miner

Wikipedia-Miner is used for annotating the Tweets with links to Wikipedia articles and based on two main steps

•Disambiguation•Link detection

•Booth steps are based on machine-learning algorithms. The disambiguation step uses the context in which words appear to find the corresponding article.•Link detection is based on several features and tries to create a link structure like in WikipediaARCOMEM, Domain Experts Training material

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Articles and CategoriesArticles are linked to corresponding categories

•Wikipedia Category Graph is used to generate relations between articles and top-level categories•Weight depends on siblings and distance

ARCOMEM, Domain Experts Training material

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ARCOMEM, Domain Experts Training material

Building a User Profile

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ARCOMEM, Domain Experts Training material

Architecture

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ARCOMEM, Domain Experts Training material

Implementation Details

•Written in JAVA•NER is based on Wikipedia-Minier•Wikipedia-Miner API is used for parsing categorie graph•Profiles are stored in Knowledge Base

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ARCOMEM, Domain Experts Training material

Evolution of Domain Experts

•Detected Experts can change over time•Current Experts can help finding new ones (looking at retweets, friends, mentions)•System learns who is an Expert by looking at:

–Content of tweets–Social Graph–Groups

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ARCOMEM, Domain Experts Training material

UI for Exploring Domain Experts

•Interface for users will provide a view on the domain expert profiles and tweets

–Who are the experts for a certain domain–Topics they tweet about–What is their level of expertice

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ARCOMEM, Domain Experts Training material

Demo

http://twikime.l3s.uni-hannover.de/twikime.php

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ARCOMEM, Domain Experts Training material

Results

•Domain Expert knowledge will be used for the Online Analysis

–Prioritization Module as feature for priorization–Which users shall be crawled–Detect Users which help getting into the topic

•Extracted tweets and URLS will be displayed to users together with Domain Expert profiles