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Sentiment Analysis

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Sen$ment
 Analysis
 Using
  Co-­‐training
奥村研究室
  修士1年
  宋 揚

Introduc$on
•  With
 the
 development
 of
 Web
 2.0,
 more
 and
  more
 people
 are
 likely
 to
 express
 their
 opinions
  on
 the
 Web.
 
  •  Microblogging
 websites
 have
 evolved
 to
 become
  a
 source
 of
 real
 $me
 messages
 .
  •  Company
 can
 also
 use
 the
 opinion
 informa$on
 to
  design
 beFer
 strategies
 for
 produc$on
 and
  marke$ng.
 
 

Previous
 Solu$on
 
•  Most
 of
 the
 previous
 solu$ons
 consider
 this
  problem
 as
 classifica$on
 problem.
  •  Selec$on
 of
 features
 like:
 
–  words,
 
 POS-­‐tagging,
 
 Emoji,
 seman$c
 topic
 ,etc.
 

•  By
 training
 a
 classifier
 using
 labeled
 data.

Problem&My
 Solu$on
•  Classifiers
 need
 labeled
 data
  •  But
 labeled
 data
 is
 expensive
 
 –
 Human
 annota$on
 is
 boring
 
 

 –
 Might
 require
 expert
 knowledge
 

•  Trick:
 Use
 unlabeled
 data
 for
 training
  •  How?:
 Co-­‐training!

Proposal
•  Training
 a
 classifica$on
 by
 using
 co-­‐training.
 
–  Text
 or
 content
 in
 one
 tweet
  –  Hashtag(s)
 or
 Emoji
 in
 one
 tweet
  •  For
 instance:
 
 Going
 2
 bed
 other
 lonely
 night
 #Sucks
 

What
 is
 Co-­‐training?
•  Problem
 

 –
 Given
 feature
 X,
 label
 Y,
 labeled
 data
 L,
 unlabeled
 data
 U
 
 –
 Wish
 to
 learn
 f:
 X
 -­‐>
 Y,
 given
 L
 and
 U
 drawn
 from
 P(X,Y)
 

•  Assump$ons
 

 –
 A
 weakly
 useful
 classifier
 
 –
 Two...

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Citations

MLA Citation

"Sentiment Analysis". Anti Essays. 14 Dec. 2018

<http://teachingsail.com/free-essays/Sentiment-Analysis-588230.html>

APA Citation

Sentiment Analysis. Anti Essays. Retrieved December 14, 2018, from the World Wide Web: http://teachingsail.com/free-essays/Sentiment-Analysis-588230.html


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