Sentiment, Opinion & Emotion on the Multilingual Web

Seth Grimes
Seth GrimesConsultant, writer & industry analyst at Alta Plana Corporation
Sentiment, Opinion &
Emotion on the
Multilingual Web
Seth Grimes
Alta Plana Corporation
@sethgrimes
New Horizons for the
Multilingal Web – Madrid
May 8, 2014
Sentiment, Opinion & Emotion on the Multilingual Web
Sentiment, Opinion & Emotion
Four varieties of data
1. Machine data (e.g., logs, sensor outputs,
clickstreams).
2. Interactions and transactions (including
location and time).
3. Profile: individual, demographic & behavioral.
4. Media: Text, audio, images, and video.
And two super-types
• Facts.
• Feelings.
Sentiment, Opinion & Emotion
Feelings
“Sentiment analysis or opinion mining is the
computational study of opinions, sentiments and
emotions expressed in text.”
-- Bing Liu, 2010, “Sentiment Analysis and
Subjectivity,” in Handbook of Natural Language
Processing
• “My graphics look horrible when I play and I’m all
laggy.”
• “The Iraqi regime… possesses and produces chemical
and biological weapons.” -- George W. Bush, Oct 7,
2002.
• “I like pepsi better simple as that, coke feels like I’m
drinking battery acid but it tastes good.”
Sentiment, Opinion & Emotion
Opinions, sentiment & emotion
Sentiment, Opinion & Emotion
The sentiment value of an opinion may be
expressed as a quintuple (oj, fjk, soijkl, hi, tl)
where:
• oj is a target object.
• fjk is an feature of the object oj.
• hi is an opinion holder.
• tl is the time when the opinion is expressed.
• soijkl is the sentiment value of the opinion of
the opinion holder hi regarding feature fjk of
object oj at time tl.
• soijkl is +ve, -ve, or neu, or a more granular
rating.
(Bing Liu, NLP Handbook)
Sentiment, Opinion & Emotion
Comparative opinions --
(O1, O2, F, po, h, t):
• O1 and O2 are object sets being compared
based on shared features F.
• po is the preferred object set of the opinion
holder h.
• t is the time when the comparative opinion is
expressed.
(Bing Liu)
Sentiment, Opinion & Emotion
Questions for business (& government):
What are people saying? What’s hot/trending?
What are they saying about {topic|person|product} X?
... about X versus {topic|person|product} Y?
How has opinion about X and Y evolved?
How has opinion correlated with
{our|competitors’|general}
{news|marketing|sales|events}?
Who (and What, When & How) are opinion leaders?
How does sentiment propagate across multiple channels?
What’s behind opinion, the root causes?
(How) Can we link opinions, profiles, behaviors &
transactions to discern intent and predict actions?
(oj, fjk, soijkl, hi, tl)? (O1, O2, F, po, h, t)?
Sentiment, Opinion & Emotion
Sentiment
surfaced via
typical industry
applications.
Sentiment, Opinion & Emotion
Sentiment, Opinion & Emotion
Sentiment is of interest at multiple levels.
Corpus / data space, i.e., across multiple sources.
Document.
Statement / sentence.
Entity / topic / concept.
Human language is noisy and chaotic!
Jargon, slang, irony, ambiguity, anaphora,
polysemy, synonymy, etc., and culturally
dependent.
Context is key. Discourse analysis comes into
play.
Meaning may be implied rather than directly
stated.
Sentiment, Opinion & Emotion
Feelings (without reductionism)
Sentiment, Opinion & Emotion
Emotion and understanding
Sentiment, Opinion & Emotion
Emotion and effect
Sentiment, Opinion & Emotion
Prediction/Feeling/Wish... and Intent
http://www.aiaioo.com/whitepapers/intention_analysis_use_cases.pdf
http://sentibet.com/
Sentiment, Opinion & Emotion
“It was the best of times, it was the worst of
times.” Opinion++?
Maybe (oj, fjk, hi, il,cm, mn, soijklmn) where:
• oj is a target object.
• fjk is an feature of the object oj.
• hi is an opinion holder.
• il is an instance of opinion expression.
• cm is a categorization.
• mn is a classification method.
• soijklmn is the sentiment value of the opinion of
opinion holder hi at time tl regarding feature
fjk of object oj, within categorization cm and as
classified via method mn .
Sentiment, Opinion & Emotion
Beyond Text:
• Audio including speech.
• Images.
• Video.
http://www.geekosystem.com/
facebook-face-recognition/
http://www.sciencedirect.com/science
/article/pii/S0167639312000118
http://flylib.com/books/en/2.495.1.54/1/
Sentiment, Opinion & Emotion
All this keeps us
busy, even
without…
“The share rise in users who
selected
Arabic…coincided with
much of the civil unrest…
in Middle Eastern
countries.”
http://bits.blogs.nytimes.com/2014/03/09/t
he-languages-of-twitter-users/
Sentiment, Opinion & Emotion
But…
Sentiment, Opinion & Emotion
And?
Sentiment, Opinion &
Emotion on the
Multilingual Web
Seth Grimes
Alta Plana Corporation
@sethgrimes
New Horizons for the
Multilingal Web – Madrid
May 8, 2014
1 of 21

Recommended

Intelligence by
IntelligenceIntelligence
IntelligenceSamar Ahmad
349 views11 slides
Emotional Intelligence – Understand And Manage Your Emotions by
Emotional Intelligence – Understand And Manage Your EmotionsEmotional Intelligence – Understand And Manage Your Emotions
Emotional Intelligence – Understand And Manage Your EmotionsHealth Education Library for People
601 views38 slides
Rhetoric by
RhetoricRhetoric
RhetoricGuerillateacher
611 views6 slides
Ethos pathos logos by
Ethos pathos logosEthos pathos logos
Ethos pathos logosclynnc
9.4K views10 slides
Intro. To Rhetoric Presentation by
Intro. To Rhetoric PresentationIntro. To Rhetoric Presentation
Intro. To Rhetoric Presentationdldixon
7.3K views13 slides
Bsu customer service workshop march 2014 by
Bsu customer service workshop   march 2014Bsu customer service workshop   march 2014
Bsu customer service workshop march 2014michellebaker
887 views82 slides

More Related Content

Similar to Sentiment, Opinion & Emotion on the Multilingual Web

Narrative presentation - how we construct our meaning and consciousness by
Narrative presentation - how we construct our meaning and consciousnessNarrative presentation - how we construct our meaning and consciousness
Narrative presentation - how we construct our meaning and consciousnessMurray Hunter
3.6K views58 slides
Rhetoric and public speaking by
Rhetoric and public speakingRhetoric and public speaking
Rhetoric and public speakingAlice Mercer
1.9K views14 slides
More Than a Feeling: Emotions and Knowledge Management by
More Than a Feeling: Emotions and Knowledge ManagementMore Than a Feeling: Emotions and Knowledge Management
More Than a Feeling: Emotions and Knowledge ManagementSIKM
495 views22 slides
Empathy Field Guide - Stanford DSchool by
Empathy Field Guide - Stanford DSchoolEmpathy Field Guide - Stanford DSchool
Empathy Field Guide - Stanford DSchoolRodrigo Narcizo
1.2K views9 slides
A Short Introduction to Rhetoric by
A Short Introduction to RhetoricA Short Introduction to Rhetoric
A Short Introduction to RhetoricMert Dalgic
25.5K views17 slides
Mbti lominger-guide by
Mbti lominger-guideMbti lominger-guide
Mbti lominger-guidePotentia Thailand Co Ltd
1.1K views6 slides

Similar to Sentiment, Opinion & Emotion on the Multilingual Web(20)

Narrative presentation - how we construct our meaning and consciousness by Murray Hunter
Narrative presentation - how we construct our meaning and consciousnessNarrative presentation - how we construct our meaning and consciousness
Narrative presentation - how we construct our meaning and consciousness
Murray Hunter3.6K views
Rhetoric and public speaking by Alice Mercer
Rhetoric and public speakingRhetoric and public speaking
Rhetoric and public speaking
Alice Mercer1.9K views
More Than a Feeling: Emotions and Knowledge Management by SIKM
More Than a Feeling: Emotions and Knowledge ManagementMore Than a Feeling: Emotions and Knowledge Management
More Than a Feeling: Emotions and Knowledge Management
SIKM495 views
Empathy Field Guide - Stanford DSchool by Rodrigo Narcizo
Empathy Field Guide - Stanford DSchoolEmpathy Field Guide - Stanford DSchool
Empathy Field Guide - Stanford DSchool
Rodrigo Narcizo1.2K views
A Short Introduction to Rhetoric by Mert Dalgic
A Short Introduction to RhetoricA Short Introduction to Rhetoric
A Short Introduction to Rhetoric
Mert Dalgic25.5K views
14b 2 t4_chapterfourteenpowerpoint by sagebennet
14b 2 t4_chapterfourteenpowerpoint14b 2 t4_chapterfourteenpowerpoint
14b 2 t4_chapterfourteenpowerpoint
sagebennet218 views
14b 2 t4_chapterfourteenpowerpoint by sagebennet
14b 2 t4_chapterfourteenpowerpoint14b 2 t4_chapterfourteenpowerpoint
14b 2 t4_chapterfourteenpowerpoint
sagebennet270 views
Transational Analysis, Scope,Types,Applications, limitations and criticism, U... by Sarath Thomas
Transational Analysis, Scope,Types,Applications, limitations and criticism, U...Transational Analysis, Scope,Types,Applications, limitations and criticism, U...
Transational Analysis, Scope,Types,Applications, limitations and criticism, U...
Sarath Thomas11.7K views
Global Analytics: Text, Speech, Sentiment, and Sense by Seth Grimes
Global Analytics: Text, Speech, Sentiment, and SenseGlobal Analytics: Text, Speech, Sentiment, and Sense
Global Analytics: Text, Speech, Sentiment, and Sense
Seth Grimes1.3K views
Questions On Cognitive Software Design by Melissa Dudas
Questions On Cognitive Software DesignQuestions On Cognitive Software Design
Questions On Cognitive Software Design
Melissa Dudas3 views
Depth of Feelings: Modeling Emotions in User Models and Agent Architectures by Eva Hudlicka
Depth of Feelings: Modeling Emotions in User Models and Agent ArchitecturesDepth of Feelings: Modeling Emotions in User Models and Agent Architectures
Depth of Feelings: Modeling Emotions in User Models and Agent Architectures
Eva Hudlicka2.4K views
Models of Representation - Theories of Democracy by Bridget Harris
Models of Representation - Theories of DemocracyModels of Representation - Theories of Democracy
Models of Representation - Theories of Democracy
Bridget Harris1.9K views
Class 2 - Building Rapport by Case IQ
Class 2 - Building RapportClass 2 - Building Rapport
Class 2 - Building Rapport
Case IQ1.3K views
Extracting What We Think and How We Feel from What We Say in Social Media by Lu Chen
Extracting What We Think and How We Feel from What We Say in Social MediaExtracting What We Think and How We Feel from What We Say in Social Media
Extracting What We Think and How We Feel from What We Say in Social Media
Lu Chen464 views
"The Objectivity of Moral Judgments" by G.E Moore by JONATHANTANNN
"The Objectivity of Moral Judgments" by G.E Moore"The Objectivity of Moral Judgments" by G.E Moore
"The Objectivity of Moral Judgments" by G.E Moore
JONATHANTANNN47 views

More from Seth Grimes

Recent Advances in Natural Language Processing by
Recent Advances in Natural Language ProcessingRecent Advances in Natural Language Processing
Recent Advances in Natural Language ProcessingSeth Grimes
196 views50 slides
Creating an AI Startup: What You Need to Know by
Creating an AI Startup: What You Need to KnowCreating an AI Startup: What You Need to Know
Creating an AI Startup: What You Need to KnowSeth Grimes
216 views19 slides
NLP 2020: What Works and What's Next by
NLP 2020: What Works and What's NextNLP 2020: What Works and What's Next
NLP 2020: What Works and What's NextSeth Grimes
286 views69 slides
Efficient Deep Learning in Natural Language Processing Production, with Moshe... by
Efficient Deep Learning in Natural Language Processing Production, with Moshe...Efficient Deep Learning in Natural Language Processing Production, with Moshe...
Efficient Deep Learning in Natural Language Processing Production, with Moshe...Seth Grimes
440 views26 slides
From Customer Emotions to Actionable Insights, with Peter Dorrington by
From Customer Emotions to Actionable Insights, with Peter DorringtonFrom Customer Emotions to Actionable Insights, with Peter Dorrington
From Customer Emotions to Actionable Insights, with Peter DorringtonSeth Grimes
246 views16 slides
Intro to Deep Learning for Medical Image Analysis, with Dan Lee from Dentuit AI by
Intro to Deep Learning for Medical Image Analysis, with Dan Lee from Dentuit AIIntro to Deep Learning for Medical Image Analysis, with Dan Lee from Dentuit AI
Intro to Deep Learning for Medical Image Analysis, with Dan Lee from Dentuit AISeth Grimes
647 views34 slides

More from Seth Grimes(20)

Recent Advances in Natural Language Processing by Seth Grimes
Recent Advances in Natural Language ProcessingRecent Advances in Natural Language Processing
Recent Advances in Natural Language Processing
Seth Grimes196 views
Creating an AI Startup: What You Need to Know by Seth Grimes
Creating an AI Startup: What You Need to KnowCreating an AI Startup: What You Need to Know
Creating an AI Startup: What You Need to Know
Seth Grimes216 views
NLP 2020: What Works and What's Next by Seth Grimes
NLP 2020: What Works and What's NextNLP 2020: What Works and What's Next
NLP 2020: What Works and What's Next
Seth Grimes286 views
Efficient Deep Learning in Natural Language Processing Production, with Moshe... by Seth Grimes
Efficient Deep Learning in Natural Language Processing Production, with Moshe...Efficient Deep Learning in Natural Language Processing Production, with Moshe...
Efficient Deep Learning in Natural Language Processing Production, with Moshe...
Seth Grimes440 views
From Customer Emotions to Actionable Insights, with Peter Dorrington by Seth Grimes
From Customer Emotions to Actionable Insights, with Peter DorringtonFrom Customer Emotions to Actionable Insights, with Peter Dorrington
From Customer Emotions to Actionable Insights, with Peter Dorrington
Seth Grimes246 views
Intro to Deep Learning for Medical Image Analysis, with Dan Lee from Dentuit AI by Seth Grimes
Intro to Deep Learning for Medical Image Analysis, with Dan Lee from Dentuit AIIntro to Deep Learning for Medical Image Analysis, with Dan Lee from Dentuit AI
Intro to Deep Learning for Medical Image Analysis, with Dan Lee from Dentuit AI
Seth Grimes647 views
Text Analytics Market Trends by Seth Grimes
Text Analytics Market TrendsText Analytics Market Trends
Text Analytics Market Trends
Seth Grimes266 views
Text Analytics for NLPers by Seth Grimes
Text Analytics for NLPersText Analytics for NLPers
Text Analytics for NLPers
Seth Grimes136 views
Our FinTech Future – AI’s Opportunities and Challenges? by Seth Grimes
Our FinTech Future – AI’s Opportunities and Challenges? Our FinTech Future – AI’s Opportunities and Challenges?
Our FinTech Future – AI’s Opportunities and Challenges?
Seth Grimes223 views
Preposition Semantics: Challenges in Comprehensive Corpus Annotation and Auto... by Seth Grimes
Preposition Semantics: Challenges in Comprehensive Corpus Annotation and Auto...Preposition Semantics: Challenges in Comprehensive Corpus Annotation and Auto...
Preposition Semantics: Challenges in Comprehensive Corpus Annotation and Auto...
Seth Grimes219 views
The Ins and Outs of Preposition Semantics:
 Challenges in Comprehensive Corpu... by Seth Grimes
The Ins and Outs of Preposition Semantics:
 Challenges in Comprehensive Corpu...The Ins and Outs of Preposition Semantics:
 Challenges in Comprehensive Corpu...
The Ins and Outs of Preposition Semantics:
 Challenges in Comprehensive Corpu...
Seth Grimes155 views
Fairness in Machine Learning and AI by Seth Grimes
Fairness in Machine Learning and AIFairness in Machine Learning and AI
Fairness in Machine Learning and AI
Seth Grimes1.3K views
Classification with Memes–Uber case study by Seth Grimes
Classification with Memes–Uber case studyClassification with Memes–Uber case study
Classification with Memes–Uber case study
Seth Grimes875 views
Aspect Detection for Sentiment / Emotion Analysis by Seth Grimes
Aspect Detection for Sentiment / Emotion AnalysisAspect Detection for Sentiment / Emotion Analysis
Aspect Detection for Sentiment / Emotion Analysis
Seth Grimes237 views
Content AI: From Potential to Practice by Seth Grimes
Content AI: From Potential to PracticeContent AI: From Potential to Practice
Content AI: From Potential to Practice
Seth Grimes464 views
Text Analytics Market Insights: What's Working and What's Next by Seth Grimes
Text Analytics Market Insights: What's Working and What's NextText Analytics Market Insights: What's Working and What's Next
Text Analytics Market Insights: What's Working and What's Next
Seth Grimes631 views
An Industry Perspective on Subjectivity, Sentiment, and Social by Seth Grimes
An Industry Perspective on Subjectivity, Sentiment, and SocialAn Industry Perspective on Subjectivity, Sentiment, and Social
An Industry Perspective on Subjectivity, Sentiment, and Social
Seth Grimes1.3K views
The Insight Value of Social Sentiment by Seth Grimes
The Insight Value of Social SentimentThe Insight Value of Social Sentiment
The Insight Value of Social Sentiment
Seth Grimes1.1K views
Text Analytics 2014: User Perspectives on Solutions and Providers by Seth Grimes
Text Analytics 2014: User Perspectives on Solutions and ProvidersText Analytics 2014: User Perspectives on Solutions and Providers
Text Analytics 2014: User Perspectives on Solutions and Providers
Seth Grimes2.3K views

Recently uploaded

4_4_WP_4_06_ND_Model.pptx by
4_4_WP_4_06_ND_Model.pptx4_4_WP_4_06_ND_Model.pptx
4_4_WP_4_06_ND_Model.pptxd6fmc6kwd4
7 views13 slides
Report on OSINT by
Report on OSINTReport on OSINT
Report on OSINTAyonDebnathCertified
5 views15 slides
OPPOTUS - Malaysians on Malaysia 3Q2023.pdf by
OPPOTUS - Malaysians on Malaysia 3Q2023.pdfOPPOTUS - Malaysians on Malaysia 3Q2023.pdf
OPPOTUS - Malaysians on Malaysia 3Q2023.pdfOppotus
30 views19 slides
Data about the sector workshop by
Data about the sector workshopData about the sector workshop
Data about the sector workshopinfo828217
29 views27 slides
6498-Butun_Beyinli_Cocuq-Daniel_J.Siegel-Tina_Payne_Bryson-2011-259s.pdf by
6498-Butun_Beyinli_Cocuq-Daniel_J.Siegel-Tina_Payne_Bryson-2011-259s.pdf6498-Butun_Beyinli_Cocuq-Daniel_J.Siegel-Tina_Payne_Bryson-2011-259s.pdf
6498-Butun_Beyinli_Cocuq-Daniel_J.Siegel-Tina_Payne_Bryson-2011-259s.pdf10urkyr34
7 views259 slides
Inawsidom - Data Journey by
Inawsidom - Data JourneyInawsidom - Data Journey
Inawsidom - Data JourneyPhilipBasford
8 views38 slides

Recently uploaded(20)

4_4_WP_4_06_ND_Model.pptx by d6fmc6kwd4
4_4_WP_4_06_ND_Model.pptx4_4_WP_4_06_ND_Model.pptx
4_4_WP_4_06_ND_Model.pptx
d6fmc6kwd47 views
OPPOTUS - Malaysians on Malaysia 3Q2023.pdf by Oppotus
OPPOTUS - Malaysians on Malaysia 3Q2023.pdfOPPOTUS - Malaysians on Malaysia 3Q2023.pdf
OPPOTUS - Malaysians on Malaysia 3Q2023.pdf
Oppotus30 views
Data about the sector workshop by info828217
Data about the sector workshopData about the sector workshop
Data about the sector workshop
info82821729 views
6498-Butun_Beyinli_Cocuq-Daniel_J.Siegel-Tina_Payne_Bryson-2011-259s.pdf by 10urkyr34
6498-Butun_Beyinli_Cocuq-Daniel_J.Siegel-Tina_Payne_Bryson-2011-259s.pdf6498-Butun_Beyinli_Cocuq-Daniel_J.Siegel-Tina_Payne_Bryson-2011-259s.pdf
6498-Butun_Beyinli_Cocuq-Daniel_J.Siegel-Tina_Payne_Bryson-2011-259s.pdf
10urkyr347 views
Listed Instruments Survey 2022.pptx by secretariat4
Listed Instruments Survey  2022.pptxListed Instruments Survey  2022.pptx
Listed Instruments Survey 2022.pptx
secretariat493 views
[DSC Europe 23][AI:CSI] Dragan Pleskonjic - AI Impact on Cybersecurity and P... by DataScienceConferenc1
[DSC Europe 23][AI:CSI]  Dragan Pleskonjic - AI Impact on Cybersecurity and P...[DSC Europe 23][AI:CSI]  Dragan Pleskonjic - AI Impact on Cybersecurity and P...
[DSC Europe 23][AI:CSI] Dragan Pleskonjic - AI Impact on Cybersecurity and P...
Shreyas hospital statistics.pdf by samithavinal
Shreyas hospital statistics.pdfShreyas hospital statistics.pdf
Shreyas hospital statistics.pdf
samithavinal5 views
PRIVACY AWRE PERSONAL DATA STORAGE by antony420421
PRIVACY AWRE PERSONAL DATA STORAGEPRIVACY AWRE PERSONAL DATA STORAGE
PRIVACY AWRE PERSONAL DATA STORAGE
antony4204217 views
[DSC Europe 23][DigiHealth] Muthu Ramachandran AI and Blockchain Framework fo... by DataScienceConferenc1
[DSC Europe 23][DigiHealth] Muthu Ramachandran AI and Blockchain Framework fo...[DSC Europe 23][DigiHealth] Muthu Ramachandran AI and Blockchain Framework fo...
[DSC Europe 23][DigiHealth] Muthu Ramachandran AI and Blockchain Framework fo...
CRM stick or twist workshop by info828217
CRM stick or twist workshopCRM stick or twist workshop
CRM stick or twist workshop
info82821714 views
LIVE OAK MEMORIAL PARK.pptx by ms2332always
LIVE OAK MEMORIAL PARK.pptxLIVE OAK MEMORIAL PARK.pptx
LIVE OAK MEMORIAL PARK.pptx
ms2332always7 views
Ukraine Infographic_22NOV2023_v2.pdf by AnastosiyaGurin
Ukraine Infographic_22NOV2023_v2.pdfUkraine Infographic_22NOV2023_v2.pdf
Ukraine Infographic_22NOV2023_v2.pdf
AnastosiyaGurin1.4K views
[DSC Europe 23][Cryptica] Martin_Summer_Digital_central_bank_money_Ideas_init... by DataScienceConferenc1
[DSC Europe 23][Cryptica] Martin_Summer_Digital_central_bank_money_Ideas_init...[DSC Europe 23][Cryptica] Martin_Summer_Digital_central_bank_money_Ideas_init...
[DSC Europe 23][Cryptica] Martin_Summer_Digital_central_bank_money_Ideas_init...

Sentiment, Opinion & Emotion on the Multilingual Web

  • 1. Sentiment, Opinion & Emotion on the Multilingual Web Seth Grimes Alta Plana Corporation @sethgrimes New Horizons for the Multilingal Web – Madrid May 8, 2014
  • 3. Sentiment, Opinion & Emotion Four varieties of data 1. Machine data (e.g., logs, sensor outputs, clickstreams). 2. Interactions and transactions (including location and time). 3. Profile: individual, demographic & behavioral. 4. Media: Text, audio, images, and video. And two super-types • Facts. • Feelings.
  • 4. Sentiment, Opinion & Emotion Feelings “Sentiment analysis or opinion mining is the computational study of opinions, sentiments and emotions expressed in text.” -- Bing Liu, 2010, “Sentiment Analysis and Subjectivity,” in Handbook of Natural Language Processing • “My graphics look horrible when I play and I’m all laggy.” • “The Iraqi regime… possesses and produces chemical and biological weapons.” -- George W. Bush, Oct 7, 2002. • “I like pepsi better simple as that, coke feels like I’m drinking battery acid but it tastes good.”
  • 5. Sentiment, Opinion & Emotion Opinions, sentiment & emotion
  • 6. Sentiment, Opinion & Emotion The sentiment value of an opinion may be expressed as a quintuple (oj, fjk, soijkl, hi, tl) where: • oj is a target object. • fjk is an feature of the object oj. • hi is an opinion holder. • tl is the time when the opinion is expressed. • soijkl is the sentiment value of the opinion of the opinion holder hi regarding feature fjk of object oj at time tl. • soijkl is +ve, -ve, or neu, or a more granular rating. (Bing Liu, NLP Handbook)
  • 7. Sentiment, Opinion & Emotion Comparative opinions -- (O1, O2, F, po, h, t): • O1 and O2 are object sets being compared based on shared features F. • po is the preferred object set of the opinion holder h. • t is the time when the comparative opinion is expressed. (Bing Liu)
  • 8. Sentiment, Opinion & Emotion Questions for business (& government): What are people saying? What’s hot/trending? What are they saying about {topic|person|product} X? ... about X versus {topic|person|product} Y? How has opinion about X and Y evolved? How has opinion correlated with {our|competitors’|general} {news|marketing|sales|events}? Who (and What, When & How) are opinion leaders? How does sentiment propagate across multiple channels? What’s behind opinion, the root causes? (How) Can we link opinions, profiles, behaviors & transactions to discern intent and predict actions? (oj, fjk, soijkl, hi, tl)? (O1, O2, F, po, h, t)?
  • 9. Sentiment, Opinion & Emotion Sentiment surfaced via typical industry applications.
  • 11. Sentiment, Opinion & Emotion Sentiment is of interest at multiple levels. Corpus / data space, i.e., across multiple sources. Document. Statement / sentence. Entity / topic / concept. Human language is noisy and chaotic! Jargon, slang, irony, ambiguity, anaphora, polysemy, synonymy, etc., and culturally dependent. Context is key. Discourse analysis comes into play. Meaning may be implied rather than directly stated.
  • 12. Sentiment, Opinion & Emotion Feelings (without reductionism)
  • 13. Sentiment, Opinion & Emotion Emotion and understanding
  • 14. Sentiment, Opinion & Emotion Emotion and effect
  • 15. Sentiment, Opinion & Emotion Prediction/Feeling/Wish... and Intent http://www.aiaioo.com/whitepapers/intention_analysis_use_cases.pdf http://sentibet.com/
  • 16. Sentiment, Opinion & Emotion “It was the best of times, it was the worst of times.” Opinion++? Maybe (oj, fjk, hi, il,cm, mn, soijklmn) where: • oj is a target object. • fjk is an feature of the object oj. • hi is an opinion holder. • il is an instance of opinion expression. • cm is a categorization. • mn is a classification method. • soijklmn is the sentiment value of the opinion of opinion holder hi at time tl regarding feature fjk of object oj, within categorization cm and as classified via method mn .
  • 17. Sentiment, Opinion & Emotion Beyond Text: • Audio including speech. • Images. • Video. http://www.geekosystem.com/ facebook-face-recognition/ http://www.sciencedirect.com/science /article/pii/S0167639312000118 http://flylib.com/books/en/2.495.1.54/1/
  • 18. Sentiment, Opinion & Emotion All this keeps us busy, even without… “The share rise in users who selected Arabic…coincided with much of the civil unrest… in Middle Eastern countries.” http://bits.blogs.nytimes.com/2014/03/09/t he-languages-of-twitter-users/
  • 19. Sentiment, Opinion & Emotion But…
  • 20. Sentiment, Opinion & Emotion And?
  • 21. Sentiment, Opinion & Emotion on the Multilingual Web Seth Grimes Alta Plana Corporation @sethgrimes New Horizons for the Multilingal Web – Madrid May 8, 2014