computing feelings: danish approaches to sentiment analysis - daniel hardt
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Computing Feelings: Danish Approaches toSentiment Analysis
Daniel Hardt
Copenhagen Business School
21 February 2014
Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analysis
Business
Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analysis
Business
Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analysis
Business
Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analysis
Business
Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analysis
Liu, Bing. Sentiment analysis and subjectivity Handbook of natural language processing 2 (2010): 568.
Sentiment analysis or opinion mining is the computationalstudy of opinions, sentiments and emotions expressed intext
Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analysis
Machine Learning Methods
Pang, Bo, Lillian Lee, and Shivakumar Vaithyanathan. "Thumbs up?: sentiment classification using machinelearning techniques." Proceedings of the ACL-02 conference on Empirical methods in natural languageprocessing-Volume 10. Association for Computational Linguistics, 2002.
Bag of words: With lexicon of m words, each document d isrepresented by the document vector(n1(d),n2(d), ...,nm(d))Machine Learning: Naive Bayes, Maximum Entropy,Support Vector MachinesNaive Bayes:
Daniel Hardt Computing Feelings: Danish Approaches to Sentiment Analysis
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 Analysis