Search (3 results, page 1 of 1)

0.0118961865 = product of:
  0.047584746 = sum of:
    0.047584746 = product of:
      0.09516949 = sum of:
        0.09516949 = weight(_text_:blogs in 1171) [ClassicSimilarity], result of:
          0.09516949 = score(doc=1171,freq=2.0), product of:
            0.31091204 = queryWeight, product of:
              6.926203 = idf(docFreq=117, maxDocs=44218)
              0.04488925 = queryNorm
            0.3060978 = fieldWeight in 1171, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              6.926203 = idf(docFreq=117, maxDocs=44218)
              0.03125 = fieldNorm(doc=1171)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

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.

0.007602342 = product of:
  0.030409368 = sum of:
    0.030409368 = product of:
      0.060818736 = sum of:
        0.060818736 = weight(_text_:22 in 3341) [ClassicSimilarity], result of:
          0.060818736 = score(doc=3341,freq=2.0), product of:
            0.1571945 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04488925 = queryNorm
            0.38690117 = fieldWeight in 3341, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=3341)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

22. 1.2017 16:45:48

0.005779208 = product of:
  0.023116833 = sum of:
    0.023116833 = weight(_text_:communication in 577) [ClassicSimilarity], result of:
      0.023116833 = score(doc=577,freq=2.0), product of:
        0.19382635 = queryWeight, product of:
          4.317879 = idf(docFreq=1601, maxDocs=44218)
          0.04488925 = queryNorm
        0.11926569 = fieldWeight in 577, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.317879 = idf(docFreq=1601, maxDocs=44218)
          0.01953125 = fieldNorm(doc=577)
  0.25 = coord(1/4)

Footnote

... New Directions in Human Information Behavior ist ein Sammelband, der eindrucksvoll dokumentiert, dass sich die Forschung zu den Themen Informationssuche bzw. Informationsverhalten - ein in unserem Sprachraum freilich wenig bekannter und weitgehend unrezipierter Teilbereich der Informationswissenschaft - gegenwärtig stark im Umbruch befindet. Der Trend von den bisherigen, eher an Paradigmen wie Dokument, fachliche Informationssuche, Bibliothek, wissenschaftliche Informationsnutzung orientierten Ansätzen hin zur Betrachtung alltäglicher Situationen und weiterer Bevölkerungsschichten sowie die Einbeziehung von neuen bzw. aus anderen sozialwissenschaftlichen Bereichen stammenden theoretischen Überlegungen ist nicht zu übersehen. Mitunter mutet dies wie eine (Wieder- bzw. Neu-)Entdeckung der Kommunikationswissenschaft durch die Informationswissenschaft an - oder auch umgekehrt, zumal einige der im vorliegenden Band Schreibenden aus communication departments kommen. Wie auch immer, wer sich für den gegenwärtigen Stand der Entwicklung auf dem HIB-Sektor interessiert, kommt um dieses Buch nicht herum. Allerdings taucht darin der Begriff framework - erfahrungsgemäss oft mit weniger handfesten Inhalten korreliert und mir daher stets ein wenig suspekt - für meinen Geschmack etwas zu häufig auf. HIB ist leider nicht das einzige Akronym, das hier eingeführt wird. Bisher ging es im gegenständlichen Kontext ja bloss um IS (information seeking) - ein neben IR (information retrieval) auch schon bekanntes und eingeführtes Kurzwort.