Analyse der Nützlichkeit von Amazon-Produktbewertungen mittels Text Mining

[1]  Michael Scholz,et al.  The Recipe for the Perfect Review? , 2013, Business & Information Systems Engineering.

[2]  Jan Muntermann,et al.  AIS Electronic Library (AISeL) , 2000 .

[3]  R. Flesch The Art of Readable Writing , 1974 .

[4]  Michael D. Smith,et al.  An Analysis of the Differential Impact of Reviews and Reviewers at Amazon.com , 2007, ICIS.

[5]  John W. Payne,et al.  Effort and Accuracy in Choice , 1985 .

[6]  Miguel-Ángel Sicilia,et al.  The Impact of Readability on the Usefulness of Online Product Reviews: A Case Study on an Online Bookstore , 2008, WSKS.

[7]  Nikolaos Korfiatis,et al.  Evaluating Content Quality and Usefulness of Online Product Reviews , 2008 .

[8]  Andreas Schieber,et al.  Identifikation und Analyse von ironischen und sarkastischen Kundenrezensionen im Web , 2012, MKWI 2012.

[9]  H. Grice Logic and conversation , 1975 .

[10]  Iris Vessey,et al.  Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature* , 1991 .

[11]  Y. Kashima,et al.  From social talk to social action: shaping the social triad with emotion sharing. , 2007, Journal of personality and social psychology.

[12]  R. Schindler,et al.  Perceived Helpfulness of Online Consumer Reviews: The Role of Message Content and Style , 2010 .

[13]  Peter E. Kennedy A Guide to Econometrics , 1979 .

[14]  Arjun Mukherjee,et al.  Spotting fake reviewer groups in consumer reviews , 2012, WWW.

[15]  Alton Yeow-Kuan Chua,et al.  Helpfulness of user-generated reviews as a function of review sentiment, product type and information quality , 2016, Comput. Hum. Behav..

[16]  P. Nelson Information and Consumer Behavior , 1970, Journal of Political Economy.

[17]  M. Coleman,et al.  A computer readability formula designed for machine scoring. , 1975 .

[18]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[19]  Barry Smyth,et al.  Learning to recommend helpful hotel reviews , 2009, RecSys '09.

[20]  J. Peter Kincaid,et al.  Derivation and Validation of the Automated Readability Index for Use with Technical Materials , 1970 .

[21]  Kai Lung Hui,et al.  What Makes a Review Voted? An Empirical Investigation of Review Voting in Online Review Systems , 2015, J. Assoc. Inf. Syst..

[22]  Philip J. Stone,et al.  The general inquirer: A computer system for content analysis and retrieval based on the sentence as a unit of information , 2007 .

[23]  R. Schindler,et al.  Perceived helpfulness of online consumer reviews: The role of message content and style: Perceived helpfulness of online consumer reviews , 2012 .

[24]  Hiroshi Esaki,et al.  Hidden topics modeling approach for review quality prediction and classification , 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

[25]  Claire Cardie,et al.  Estimating the prevalence of deception in online review communities , 2012, WWW.

[26]  Srikumar Krishnamoorthy,et al.  Linguistic features for review helpfulness prediction , 2015, Expert Syst. Appl..

[27]  Nicolas Guéguen,et al.  Solicitation by E-Mail and Solicitor's Status: A Field Study of Social Influence on the Web , 2002, Cyberpsychology Behav. Soc. Netw..

[28]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

[29]  Brandon Van Der Heide,et al.  Evaluating the Wisdom of Strangers: The Perceived Credibility of Online Consumer Reviews on Yelp , 2015, J. Comput. Mediat. Commun..

[30]  Snehasish Banerjee,et al.  Developing a Theory of Diagnosticity for Online Reviews , 2014 .

[31]  H. Raiffa,et al.  The hidden traps in decision making. , 1998, Harvard business review.

[32]  Sherri L. Jessmer,et al.  The effect of politeness and grammar on user perceptions of electronic mail. , 2001 .

[33]  Chuan-Hoo Tan,et al.  Helpfulness of Online Product Reviews as Seen by Consumers: Source and Content Features , 2013, Int. J. Electron. Commer..

[34]  David Schuff,et al.  Is It the Review or the Reviewer? a Multi-Method Approach to Determine the Antecedents of Online Review Helpfulness , 2011, 2011 44th Hawaii International Conference on System Sciences.

[35]  Bernard J. Jaworski,et al.  Enhancing and Measuring Consumers’ Motivation, Opportunity, and Ability to Process Brand Information from Ads , 1991 .

[36]  Nada Nasr Bechwati,et al.  Word of Mouse , 2008 .

[37]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

[38]  Gilad Ravid,et al.  Information overload and the message dynamics of online interaction spaces: a theoretical model and empirical exploration , 2004, IEEE Engineering Management Review.

[39]  Eugene Borgida,et al.  The Differential Impact of Abstract vs. Concrete Information on Decisions , 1977 .

[40]  Paul A. Pavlou,et al.  Overcoming the J-shaped distribution of product reviews , 2009, CACM.

[41]  Panagiotis G. Ipeirotis,et al.  Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics , 2010, IEEE Transactions on Knowledge and Data Engineering.

[42]  Jahna Otterbacher,et al.  'Helpfulness' in online communities: a measure of message quality , 2009, CHI.

[43]  R. Gunning The Technique of Clear Writing. , 1968 .

[44]  Rohit Verma,et al.  What Guests Really Think of Your Hotel: Text Analytics of Online Customer Reviews , 2016 .

[45]  Siobhan Chapman Logic and Conversation , 2005 .

[46]  Antonio Damasio,et al.  The somatic marker hypothesis: A neural theory of economic decision , 2005, Games Econ. Behav..

[47]  Manfred Krafft Der Ansatz der logistischen Regression und seine Interpretation , 1996 .

[48]  Rohit J. Kate,et al.  Learning to Predict Readability using Diverse Linguistic Features , 2010, COLING.

[49]  Edward B. Royzman,et al.  Negativity Bias, Negativity Dominance, and Contagion , 2001 .

[50]  JoongHo Ahn,et al.  Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues , 2012, Int. J. Electron. Commer..

[51]  Mark Hamilton,et al.  Information Systems Concepts across Two Decades: An Empirical Analysis of Trends in Theory, Methods, Process, and Research Domains , 2005 .

[52]  Varun Grover,et al.  Can online product reviews be more helpful? Examining characteristics of information content by product type , 2015, Decis. Support Syst..

[53]  Marios Kokkodis Learning from positive and unlabeled amazon reviews: towards identifying trustworthy reviewers , 2012, WWW.

[54]  Paul A. Pavlou,et al.  Can online reviews reveal a product's true quality?: empirical findings and analytical modeling of Online word-of-mouth communication , 2006, EC '06.