Search (2 results, page 1 of 1)

  • × subject_ss:"Information behavior"
  • × subject_ss:"Information retrieval"
  • × year_i:[2000 TO 2010}
  1. Pang, B.; Lee, L.: Opinion mining and sentiment analysis (2008) 0.00
    0.0011077732 = product of:
      0.0022155463 = sum of:
        0.0022155463 = product of:
          0.0044310926 = sum of:
            0.0044310926 = weight(_text_:a in 1171) [ClassicSimilarity], result of:
              0.0044310926 = score(doc=1171,freq=8.0), product of:
                0.043477926 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.037706986 = queryNorm
                0.10191591 = fieldWeight in 1171, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.03125 = fieldNorm(doc=1171)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.
  2. New directions in human information behavior (2006) 0.00
    7.7408005E-4 = product of:
      0.0015481601 = sum of:
        0.0015481601 = product of:
          0.0030963202 = sum of:
            0.0030963202 = weight(_text_:a in 577) [ClassicSimilarity], result of:
              0.0030963202 = score(doc=577,freq=10.0), product of:
                0.043477926 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.037706986 = queryNorm
                0.07121591 = fieldWeight in 577, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.01953125 = fieldNorm(doc=577)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    New Directions in Human Information Behavior, co-edited by Drs. Amanda Spink and Charles Cole provides an understanding of the new directions, leading edge theories and models in human information behavior. Information behavior is conceptualized as complex human information related processes that are embedded within an individual's everyday social and life processes. The book presents chapters by an interdisciplinary range of scholars who show new directions that often challenge the established views and paradigms of information behavior studies. Beginning with an evolutionary framework, the book examines information behaviors over various epochs of human existence from the Palaeolithic Era and within pre-literate societies, to contemporary behaviors by 21st century humans. Drawing upon social and psychological science theories the book presents a more integrated and holistic approach to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals' information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these new approaches and presents an overview of the key trends, theories and models for further research. This book is directly relevant to information scientists, librarians, social and evolutionary psychologists. Undergraduate and graduate students, academics and information professionals interested in human information behavior will find this book of particular benefit.
    Content
    Inhalt: Introduction: New Directions in Human Information Behavior, Amanda Spink and Charles Cole.- Emerging Evolutionary Approach to Human Information Behavior, Amanda Spink and James Currier.- Information Behavior in Pre-Literate Societies, Andrew D. Madden, Jared Bryson and Joe Palimi.- Towards a Social Framework for Information Seeking, Eszter Hargittai and Amanda Hinnant.- Mapping Textually-Mediated Information Practice in Clinical Midwifery Care, Pamela McKenzie.- Information Grounds: Theoretical Basis and Empirical Findings on Information Flow in Social Settings, Karen E. Fisher and Charles M. Naumer.-Information Sharing, Sanna Talja and Preben Hansen.- Multitasking and Coordinating Framework for Human Information Behavior, Amanda Spink, Minsoo Park and Charles Cole.- A Nonlinear Perspective on Information Seeking, Allen Foster.- A Cognitive Framework for Human Information Behavior: The Place of Metaphor in Human Information Organizing Behavior, Charles Cole and John Leide.- The Digital Information Consumer, David Nicholas, Paul Huntingron, Peter Williams and Tom Dubrowolski.- Integrating Framework and Further Research.
    Editor
    Spink, A. u. C. Cole