TAILIEUCHUNG - Báo cáo khoa học: "Why Are They Excited? Identifying and Explaining Spikes in Blog Mood Levels"

We describe a method for discovering irregularities in temporal mood patterns appearing in a large corpus of blog posts, and labeling them with a natural language explanation. Simple techniques based on comparing corpus frequencies, coupled with large quantities of data, are shown to be effective for identifying the events underlying changes in global moods. | Why Are They Excited Identifying and Explaining Spikes in Blog Mood Levels Krisztian Balog Gilad Mishne Maarten de Rijke ISLA University of Amsterdam Kruislaan 403 1098 SJ Amsterdam kbalog gilad mdr@ Abstract We describe a method for discovering irregularities in temporal mood patterns appearing in a large corpus of blog posts and labeling them with a natural language explanation. Simple techniques based on comparing corpus frequencies coupled with large quantities of data are shown to be effective for identifying the events underlying changes in global moods. 1 Introduction Blogs diary-like web pages containing highly opinionated personal commentary are becoming increasingly popular. This new type of media offers a unique look into people s reactions and feelings towards current events for a number of reasons. First blogs are frequently updated and like other forms of diaries are typically closely linked to ongoing events in the blogger s life. Second the blog contents tend to be unmoderated and subjective more so than mainstream media expressing opinions thoughts and feeling. Finally the large amount of blogs enables aggregation of thousands of opinions expressed every minute this aggregation allows abstractions of the data cleaning out noise and focusing on the main issues. Many blog authoring environments allow bloggers to tag their entries with highly individual and personal features. Users of LiveJournal one of the largest weblog communities have the option of reporting their mood at the time of the post users can either select a mood from a predefined list of common moods such as amused or angry or enter free-text. A large percentage of LiveJournal users tag their postings with a mood. This results in a stream of hundreds of weblog posts tagged with mood information per minute from hundreds of thousands of users across the globe. The collection of such mood reports from many bloggers gives an aggregate mood of the blogosphere for each point in

• Báo cáo khoa học
• Why Are They Excited
• Identifying and Explaining Spikes
• Blog Mood Levels
• scientific reports
• model language
• process natural language
• Business hours
• Financial economics
• Cooperative
• Accounting
• Business trip
• Keith O
• Sanders
• busines
• business document
• business ebook
• business specific study
• business research
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln