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Machine learning / Mind / Emotion / Ethology / Cognitive science / Cybernetics / Natural language processing / Sentiment analysis


RBEM: A Rule Based Approach to Polarity Detection Erik Tromp Mykola Pechenizkiy Adversitement B.V.
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Document Date: 2013-07-09 05:43:10


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City

Melville / New York / Chicago / /

Company

International Language Resources / Collaborative Technologies / BBC / Polarity Detection Erik Tromp Mykola Pechenizkiy Adversitement B.V. / Twitter / CNN / /

Country

Belgium / United States / Netherlands / Nederland / /

Currency

USD / /

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Facility

Eindhoven University of Technology theAugust / /

IndustryTerm

web interface / opinion mining / social media / use opinion mining / social media data / deep learning neural networks / multilingual solution / sentiment analysis using data mining techniques / m.pechenizkiy@tue.nl media / natural language processing / detection algorithm / /

Organization

Eindhoven University of Technology theAugust / Department of Computer Science TU Eindhoven / Association for Computational Linguistics / /

Person

Game show Ik / /

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PoliticalEvent

presidential election / /

Position

Methodology General / emission model / multi-lingual sentiment analysis / representative / linguist / /

ProvinceOrState

New York / /

PublishedMedium

Computational Linguistics / Machine Learning / /

TVShow

Babyboom Talent / Keyword Table / Ik hou van Holland / House Game / Hitch Real / /

Technology

LIGA algorithm / natural language processing / artificial intelligence / RBEM algorithm / Data Mining / machine learning / detection algorithm / /

SocialTag