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Analysis of Twitter Data NIKHIL PURANIK CMSC 601 – Research Skills 25 th April 2011UNIVERSITY OF...
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Analysis of Twitter Data
NIKHIL PURANIK
CMSC 601 – Research Skills
25th April 2011UNIVERSITY OF MARYLAND BALTIMORE COUNTY
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Image adopted from slides by Akshay Java
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A Bird’s Eye View:
Twitter is a micro blogging website.
Used by millions of people all over the world
A big repository for real time information
Twitter asks the question :“what is happening?” The user enters the information in 140 characters or less.
This information can be anything , what is on user’s mind, opinions about a topic, political views, reactions about events.
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Tweets – Are they really useful??
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Twitter Facebook
No limits
D.O.B required
Easy for Ads.
No Profile info.
140 characters
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Research Problem Addressed/Topic of Interest
Twitter does not ask a user for any kind of personal information
Language to tweet in, time zone, tweet location, tweet media and Bio (160 char.)
Having information such as education, philosophy, sports, activities and interests, relationship status, etc. beneficial
Providing selective and focused advertisements
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Proposed Approach
Collection of Tweets
Extracting the features
Machine Learning for classification purpose
Controlled Experiments – Amazon’s Mechanical Turk
Testing on actual Tweets
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Christopher Horn-Analysis and Classification of Twitter
messagesGraz University of
Technology
• Classification of a tweet(and user) into news, user and company and fact/opinion
• 80% accuracy with SVMs
Mike Thelwall et al. -
Sentiment in Twitter Events
• The sentiment for each tweet was classified using an existing
• algorithm named SentiStrength which classifies a sentiment as positive or negative
Related work :
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Thank you!