May[removed]OFFICIUM SPECIAL SITUATIONS FUND The Officium Special Situations Fund returned 3.38% in May. Throughout May the improvement in investor sentiment resulted in the Australian equity market shifting focus from def

Source URL: www.macrofunds.com.au

• Equity securities
• Equity
• Stock market
• Financial services
• Financial economics
• Finance
• Investment

Using multiple sources of agreement information for sentiment classification of political transcripts Clint Burfoot Department of Computer Science and Software Engineering University of Melbourne, VIC 3010, Australia c.b

Source URL: www.alta.asn.au

• Science
• Natural language processing
• Statistical classification
• Data mining
• Parts of speech
• Support vector machine
• Sentiment analysis
• Classifier
• Gain
• Machine learning
• Statistics
• Artificial intelligence

Twitter Power: Tweets as Electronic Word of Mouth Bernard J. Jansen and Mimi Zhang College of Information Sciences and Technology, Pennsylvania State University, University Park, PA[removed]E-mail: [removed]; mzhan

Source URL: blog.thomsonreuters.com

• Microblogging
• Technology
• Brand
• Sentiment analysis
• Twitter
• Social media
• World Wide Web

The Occupiers and the Occupied: A Nexus of Memories Christine de Matos University of Wollongong Introduction In Ōe Kenzaburo’s The Silent Cry, the two protagonists, Jin and Mitsuburo, discuss

Source URL: newvoices.jpf-sydney.org

• Japan
• Occupation of Japan
• Anti-Japanese sentiment
• Pacific War
• Japanese language
• Contemporary history
• Occupied Japan
• Military history of the United States
• British Commonwealth Occupation Force

平和運動から見る日豪関係 SUMMARY A Post-war Peace Movement initiated by a Former Australian POW  in a Japanese Internment Camp Miyo Sakuma

Source URL: www.australianstudies.jp

• War
• Anti-Japanese sentiment
• Peace movement
• Australia–Japan relations

EDITABLE TEXT: Personalize with a sentiment of your choice using ACROBAT READER. Print on card stock paper or Glossy photo paper.

Source URL: alenkasprintables.com

Sentiment Lexicon Creation from Lexical Resources Bas Heerschop, Alexander Hogenboom, and Flavius Frasincar Erasmus University Rotterdam PO Box 1738, NL-3000 DR, Rotterdam, The Netherlands [removed],{hogenbo

Source URL: people.few.eur.nl

• Natural language processing
• Knowledge representation
• Semantics
• Lexical semantics
• WordNet
• PageRank
• Word-sense disambiguation
• Semantic network
• Lesk algorithm
• Linguistics
• Computational linguistics
• Science

Alleviating Data Sparsity for Twitter Sentiment Analysis Hassan Saif Knowledge Media Institute The Open University Milton Keynes, MK7 6AA, UK

Source URL: ceur-ws.org

• Science
• World Wide Web
• Sentiment analysis
• Twitter
• Semantic Web
• Naive Bayes classifier
• Semantic mapping
• Machine learning
• Natural language processing
• Statistics
• Computational linguistics

Alpesh’s guide to using the Alpesh Patel Special Edition Section 7 My Bullish Momentum filter

Source URL: download.sharescope.co.uk

• Structure
• MACD
• Market sentiment
• Filter

KnowledgeREADER™ Integrated Customer Intelligence KnowledgeREADER is an industry-first application that brings a new age of integrated customer intelligence by combining visual text discovery and

Source URL: www.angoss.com

• Business intelligence
• Data analysis
• Formal sciences
• Business
• Statistical natural language processing
• Text analytics
• Analytics
• Data mining
• Sentiment analysis
• Natural language processing
• Science
• Statistics