Sentiment, Opinion & Emotion on the Multilingual Web
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Sentiment, Opinion & Emotion on the Multilingual Web

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Presentation for the Multilingual Web workshop, May 8, 2014

Presentation for the Multilingual Web workshop, May 8, 2014

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  • Seth, this is a fantastic presentation and its great your in Madrid doing it - now it's time to get things moving in Europe and Asia more, perhaps have more events there.

    I will also spread the word at Baruch College, where the department is aware of you the chair, a linguist.
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    Sentiment, Opinion & Emotion on the Multilingual Web Sentiment, Opinion & Emotion on the Multilingual Web Presentation Transcript

    • 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 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