Opinion	  mining	  and	  sen-ment	               analysis	   W3C	  SEMINAR,	  JUNE	  19 	  	  2012	                       ...
THE	  CHALLENGES	    Making	  sense	  of	  a	  thousand	  voices	  across	  different	     pla:orms	    Iden-fying	  “goo...
POSSIBLE	  SOLUTION	  	  Argument	  mapping	  soCware	  helps	  organising	  in	  a	  logical	       way	  these	  policy	...
STATE	  OF	  THE	  ART	  
ADVANCED	  TOOLS	  
FUTURE	  CHALLENGES	      Reduc-on	  of	  human	  effort	      The	  detec-on	  of	  spam	  and	  fake	  reviews,	  	  	 ...
Current free        Top          Current research             Short term future          Long termtools               mark...
COMMENT	  THE	  ROADMAP	  hTp://www.crossover-­‐project.eu/ResearchRoadmap.aspx	  	  
Osimo crossover-opinionminingv3
Osimo crossover-opinionminingv3
Osimo crossover-opinionminingv3
Osimo crossover-opinionminingv3
Osimo crossover-opinionminingv3
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Osimo crossover-opinionminingv3

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Osimo crossover-opinionminingv3

  1. 1. Opinion  mining  and  sen-ment   analysis   W3C  SEMINAR,  JUNE  19    2012   TH David  Osimo,  Tech4i2.com   www.crossover-­‐project.eu     #pmod  
  2. 2. THE  CHALLENGES    Making  sense  of  a  thousand  voices  across  different   pla:orms    Iden-fying  “good  ideas”    Reduce  uncertainty  on  possible  impact  of  policies  by   ge@ng  early  and  real-­‐-me  feedback  
  3. 3. POSSIBLE  SOLUTION    Argument  mapping  soCware  helps  organising  in  a  logical   way  these  policy  statements,  by  explicita-ng  the  logical   links  between  them..    Vo-ng  Advise  Applica-ons  help  voters  understanding   which  poli-cal  party  (or  other  voters)  have  closer   posi-ons  to  theirs.      Automated  content  analysis  helps  processing  large   amount  of  qualita-ve  data.    
  4. 4. STATE  OF  THE  ART  
  5. 5. ADVANCED  TOOLS  
  6. 6. FUTURE  CHALLENGES    Reduc-on  of  human  effort    The  detec-on  of  spam  and  fake  reviews,        The  limits  of  collabora-ve  filtering,  which  tends  to  iden-fy  most   popular  concepts  and  to  overlook  most  innova-ve  /  out  of  the  box   thinking      The  risk  of  a  filter  bubble  (pariser  2011)    The  asymmetry  in  availability  of  opinion  mining  soCware,  which  can   currently  be  afforded  only  by  organisa-ons  and  government,  but   not  by  ci-zens.  In  other  words,  government  have  the  means  today   to  monitor  public  opinion  in  ways  that  are  not  available  to  the   average  ci-zens.  While  content  produc-on  and  publica-on  has   democra-zed,  content  analysis  has  not.    The  integra-on  of  opinion  with  behaviour  and  implicit  data,  in  order   to  validate  and  provide  further  analysis  into  the  data  beyond   opinion  expressed    The  con-nuous  need  for  beTer  usability  and  user-­‐friendliness  of  the   tools,  which  are  currently  usable  mainly  by  data  analysts  
  7. 7. Current free Top Current research Short term future Long termtools market research future tools researchfiltering opinion Machine · Statistical + Semantic · Visual representation· Multilingualbased on rating; learning + analysis through · Audiovisual opinion audiovisualassessing human lexicon/corpus of words mining opinion miningsentiments based analysis with known sentiment · Real-time opinion · Usable, peer-on keywords; mining to-peer opinionvisual word for sentiment · Machine learning mining tools forcounting classification algorithms citizensArgument · Identification of policy · Natural language · Non-bipolarmapping and VAA opinionated material to interfaces assessment of be analysed · SNA applied to opinion · Computer-generated opinion and expertise · Automatic reference corpuses in · Bipolar assessment of irony detection political/governance opinions field · Multilingual reference · Visual mapping of corpora bipolar opinion · Recommendation · Identification of highly algorythms rated experts
  8. 8. COMMENT  THE  ROADMAP  hTp://www.crossover-­‐project.eu/ResearchRoadmap.aspx    

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