Analyzing and Forecasting Trends

In Chap. 12 the general set of analysis techniques required to understand the blogosphere were discussed. This chapter presents one of two detailed analysis concepts in more detail. Each concept can be seen as an independent extension of the BLOGINTELLIGENCE platform that uses the existing crawler and analysis techniques.

[1]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[2]  Karl Aberer,et al.  Efficient monitoring of personalized hot news over Web 2.0 streams , 2011, Computer Science - Research and Development.

[3]  D. Streiner Maintaining Standards: Differences between the Standard Deviation and Standard Error, and When to Use Each , 1996, Canadian journal of psychiatry. Revue canadienne de psychiatrie.

[4]  Julie Beth Lovins,et al.  Development of a stemming algorithm , 1968, Mech. Transl. Comput. Linguistics.

[5]  Nick Koudas,et al.  TwitterMonitor: trend detection over the twitter stream , 2010, SIGMOD Conference.

[6]  Eamonn J. Keogh,et al.  Segmenting Time Series: A Survey and Novel Approach , 2002 .

[7]  Renée J. Miller,et al.  Online annotation of text streams with structured entities , 2010, CIKM '10.

[8]  Christoph Meinel,et al.  Mapping the Blogosphere--Towards a Universal and Scalable Blog-Crawler , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

[9]  Karen Spärck Jones A statistical interpretation of term specificity and its application in retrieval , 2021, J. Documentation.

[10]  Gerhard Weikum,et al.  EnBlogue: emergent topic detection in web 2.0 streams , 2011, SIGMOD '11.

[11]  Shusaku Tsumoto,et al.  Evaluating a Temporal Pattern Detection Method for Finding Research Keys in Bibliographical Data , 2011, Trans. Rough Sets.

[12]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[13]  Karen Sparck Jones A statistical interpretation of term specificity and its application in retrieval , 1972 .

[14]  W. Bruce Croft,et al.  Term clustering of syntactic phrases , 1989, SIGIR '90.

[15]  Lillian Lee,et al.  Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..

[16]  Douglas C. Montgomery,et al.  Introduction to Linear Regression Analysis, Solutions Manual (Wiley Series in Probability and Statistics) , 2007 .