EMOTIVE.LBORO.AC.UK

EMOTIVE

Figure 1 – NLP Pipeline for Sparse Text processing (with the EMOTIVE Emotions Ontology Matching Module Highlighted). Anger, Disgust, Fear, Happiness, Sadness, Surprise. Ekman’s 6 basic emotions). Shame, and Confusion. This is considerably more specific than much of existing work in sentiment analysis area, where most techniques tend to focus on overall document polarity (negative, neutral, positive scales) or bundle together emotions with states and opinions, rather than focus on real and basic emotions.

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EMOTIVE | emotive.lboro.ac.uk Reviews

<META> DESCRIPTION

Figure 1 – NLP Pipeline for Sparse Text processing (with the EMOTIVE Emotions Ontology Matching Module Highlighted). Anger, Disgust, Fear, Happiness, Sadness, Surprise. Ekman’s 6 basic emotions). Shame, and Confusion. This is considerably more specific than much of existing work in sentiment analysis area, where most techniques tend to focus on overall document polarity (negative, neutral, positive scales) or bundle together emotions with states and opinions, rather than focus on real and basic emotions.

<META> KEYWORDS

1 tom jackson

2 ann o’brien

3 martin sykora

4 suzanne elayan

5 partners

6 news

7 publications

8 resources

9 events

10 and dstl

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tom jackson,ann o’brien,martin sykora,suzanne elayan,partners,news,publications,resources,events,and dstl,formerly information science,principal investigator,co investigator,dr martin sykora,research associate,emotive,recent posts,recent media coverage

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EMOTIVE | emotive.lboro.ac.uk Reviews

https://emotive.lboro.ac.uk

Figure 1 – NLP Pipeline for Sparse Text processing (with the EMOTIVE Emotions Ontology Matching Module Highlighted). Anger, Disgust, Fear, Happiness, Sadness, Surprise. Ekman’s 6 basic emotions). Shame, and Confusion. This is considerably more specific than much of existing work in sentiment analysis area, where most techniques tend to focus on overall document polarity (negative, neutral, positive scales) or bundle together emotions with states and opinions, rather than focus on real and basic emotions.

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martinsykora.blogspot.com

Martin Sykora's Personal Blog: Detecting Emotions in Social-Media Streams

http://martinsykora.blogspot.com/2013/10/detecting-emotions-in-social-media.html

Martin Sykora's Personal Blog. General observations and ramblings on technology, social-media and other things. Feel free to browse through my posts and enjoy your stay on my blog ;-). Tuesday, October 8, 2013. Detecting Emotions in Social-Media Streams. Recently my research and development work within the EMOTIVE project. Looking at fine-grained, cross-cultural emotion detection from Twitter datasets - has received considerable national and international mass-media attention. To me the project was parti...

martinsykora.blogspot.com

Martin Sykora's Personal Blog: 10/6/13 - 10/13/13

http://martinsykora.blogspot.com/2013_10_06_archive.html

Martin Sykora's Personal Blog. General observations and ramblings on technology, social-media and other things. Feel free to browse through my posts and enjoy your stay on my blog ;-). Tuesday, October 8, 2013. Detecting Emotions in Social-Media Streams. Recently my research and development work within the EMOTIVE project. Looking at fine-grained, cross-cultural emotion detection from Twitter datasets - has received considerable national and international mass-media attention. To me the project was parti...

profjackson.com

Dr Jackson's Email & Knowledge Management Research

http://www.profjackson.com/emotive.html

Jackson talks Email Comms to German Newspaper. Jackson talks at DPC on Email Preservation read live tweets. Global Mail - Canada: Confessions of an Inbox Obsessive more. Midlands Business News - Inefficient Email more. Inefficient email is costing companies more. Full research paper here. Role of email in the distraction society - article by Damon Young more. Dr Jackson on New York Radio on email overload listen. Or read the article more. Death by Email - Records Management Society Conference 2009 more.

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Figure 1 – NLP Pipeline for Sparse Text processing (with the EMOTIVE Emotions Ontology Matching Module Highlighted). Anger, Disgust, Fear, Happiness, Sadness, Surprise. Ekman’s 6 basic emotions). Shame, and Confusion. This is considerably more specific than much of existing work in sentiment analysis area, where most techniques tend to focus on overall document polarity (negative, neutral, positive scales) or bundle together emotions with states and opinions, rather than focus on real and basic emotions.

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