PDF-(EBOOK)-Affective Computing and Sentiment Analysis Emotion Metaphor and Terminology (Text

This volume maps the watershed areas between two holy grails of computer science the identification and interpretation of affect 8211 including sentiment and mood The expression of sentiment and mood involves the use of metaphors especially in emotive situations Affect computing is rooted in hermeneutics philosophy political science and sociology and is now a key area of research in computer science The 247 news sites and blogs facilitate the expression and shaping of opinion locally and globally nbspSentiment analysis based on text and data mining is being used in the looking at news and blogs for purposes as diverse as brand management film reviews financial market analysis and prediction homeland security There are systems that learn how sentiments are articulated This work draws on and informs research in fields as varied as artificial intelligence especially reasoning and machine learning corpusbased information extraction linguistics and psychologynbsp. in SLA. Junghwa. Woo. Overview of Affective Factors in SLA. What are affects?. Why affective factors?. How are affects and cognition related?. Krashen’s. Affective filters. Elements of Affective factors. Chenghua. Lin . & . Yulan. He. CIKM09. Main Idea. This . paper . proposes . a novel probabilistic modeling framework based on . Latent . Dirichlet. Allocation (LDA), called joint sentiment/. : Interactive Visualization for Exploring and Comparing the Sentiments of Time-Varying Twitter Data. Florence Ying Wang, Arnaud . Sallaberry. , Mathieu Roche. LIRMM & . Universite. Montpellier, . Abhijit. Mishra. 1. , . Aditya. Joshi. 1,2,3. , . Pushpak. Bhattacharyya. 1. 1 . IIT Bombay, India . 2 . Monash. University, Australia. 3. IITB-Monash Research Academy. At 5th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, ACL 2014, Baltimore . BY,. SOWMYA KAMATH,. ANUSHA BAGAL KOTHKAR,. KUMARI POORNIMA,. SHIVAM PANDEY. AND. ASHESH KHANDELWAL. Introduction. Approaches to Sentiment Analysis. Sentiment Analysis Applications. Current development in Sentiment Analysis. Professor Beste . Filiz. . Yuksel. University of San Francisco. CS 686/486. Inspired by Prof. Rosalind Picard’s Affective Computing class . https://ocw.mit.edu/courses/media-arts-and-sciences/mas-630-affective-computing-fall-2015/. CSE, HKUST. March . 27. Recap. What have we done for the project? . Phase . I: Data . Collection. Collect . data from the . Web. . (at least 4 data sources). Parse the data using different tool. Design . HEADLINE. Body. text,. body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text. Awais. . Athar. . &. Simone . Teufel. Sentiment Analysis of Citations. Challenges in Citation Sentiment Analysis. Negative sentiment is ‘politically dangerous’. - (. Z. iman. , . 1968). Personal biases are h. Affective, Sentimental, and Connotative Meaning in the Lexicon. Affective meaning. Drawing on literatures in. affective computing (Picard 95). l. inguistic subjectivity (. Wiebe. and colleagues). s. Positive or negative movie review?. unbelievably . disappointing . Full of . zany characters and richly applied satire, and some great plot . twists. this is the greatest screwball comedy ever . filmed. Slides from Bing Liu and Ronan Feldman. Introduction. Two main types of textual information. . Facts and Opinions. Note: factual statements can imply opinions too.. Most current text information processing methods (e.g., web search, text mining) work with factual information.. Text 2. Text 3. Text 4. Text 5. Text 6. Text 7. Text 8. Text 9. Text 10. Text 11. Text 12. Text 13. Text 14. Text 15. Text 16. Text 17. Erbauer: . Max Mustermann (Ort). Bauzeit: xx Wochen. Steine: ca. 10.000. Bettina Berendt. Department . o. f Computer Science. KU Leuven, Belgium. http://people.cs.kuleuven.be/~bettina.berendt. /. Summer School . Foundations and Applications of Social Network Analysis & Mining.