Computing Feelings: Danish Approaches to
Sentiment Analysis
Daniel Hardt
Copenhagen Business School

21 February 2014

Dan...
Business

Daniel Hardt

Computing Feelings: Danish Approaches to Sentiment Analy
Business

Daniel Hardt

Computing Feelings: Danish Approaches to Sentiment Analy
Business

Daniel Hardt

Computing Feelings: Danish Approaches to Sentiment Analy
Business

Daniel Hardt

Computing Feelings: Danish Approaches to Sentiment Analy
Liu, Bing. Sentiment analysis and subjectivity Handbook of natural language processing 2 (2010): 568.

Sentiment analysis ...
Machine Learning Methods
Pang, Bo, Lillian Lee, and Shivakumar Vaithyanathan. "Thumbs up?: sentiment classification using m...
Deep Learning: Stanford Sentiment Treebank
Socher, Richard, et al. "Recursive deep models for semantic compositionality ov...
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Computing Feelings: Danish Approaches to Sentiment Analysis - Daniel Hardt

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Computing Feelings: Danish Approaches to Sentiment Analysis - Daniel Hardt

  1. 1. Computing Feelings: Danish Approaches to Sentiment Analysis Daniel Hardt Copenhagen Business School 21 February 2014 Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analy
  2. 2. Business Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analy
  3. 3. Business Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analy
  4. 4. Business Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analy
  5. 5. Business Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analy
  6. 6. Liu, Bing. Sentiment analysis and subjectivity Handbook of natural language processing 2 (2010): 568. Sentiment analysis or opinion mining is the computational study of opinions, sentiments and emotions expressed in text Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analy
  7. 7. Machine Learning Methods Pang, Bo, Lillian Lee, and Shivakumar Vaithyanathan. "Thumbs up?: sentiment classification using machine learning techniques." Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10. Association for Computational Linguistics, 2002. Bag of words: With lexicon of m words, each document d is represented by the document vector (n1 (d), n2 (d), ..., nm (d)) Machine Learning: Naive Bayes, Maximum Entropy, Support Vector Machines Naive Bayes: Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analy
  8. 8. Deep Learning: Stanford Sentiment Treebank Socher, Richard, et al. "Recursive deep models for semantic compositionality over a sentiment treebank." Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 2013. Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analy

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