osimo crossover-opinionminingv3
TRANSCRIPT
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W3C SEMINAR, JUNE 19TH 2012 David Osimo, Tech4i2.com www.crossover-‐project.eu #pmod
Opinion mining and sen-ment analysis
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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
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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.
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STATE OF THE ART
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ADVANCED TOOLS
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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
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Current free tools
Top market tools
Current research Short term future research
Long term future research
filtering opinion based on rating; assessing sentiments based on keywords; visual word counting Argument mapping and VAA
Machine learning + human analysis
· Statistical + Semantic analysis through lexicon/corpus of words with known sentiment for sentiment classification
· Identification of policy opinionated material to be analysed
· Computer-generated reference corpuses in political/governance field
· Visual mapping of bipolar opinion
· Identification of highly rated experts
· Visual representation · Audiovisual opinion
mining · Real-time opinion
mining · Machine learning
algorithms · Natural language
interfaces · SNA applied to
opinion and expertise · Bipolar assessment of
opinions · Multilingual reference
corpora · Recommendation
algorythms
· Multilingual audiovisual opinion mining
· Usable, peer-to-peer opinion mining tools for citizens
· Non-bipolar assessment of opinion
· Automatic irony detection
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COMMENT THE ROADMAP hTp://www.crossover-‐project.eu/ResearchRoadmap.aspx