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Exploring emotional expressions in e-word-of-mouth from online communities Original Research Article Pages 721-732

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The paper is one of the few papers to explore the role of emotion in eWOM. It includes a practical study of a business using eWOM and the data is analyzed. It provides recommendations on how to use emotion in eWOM to encourage participation and
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   ADVERTISEMENT ADVERTISEMENT  ADVERTISEMENT ADVERTISEMENT  Information Processing & Management Supports Open Access  About this Journal Sample Issue Online Submit your Article Formerly known as Information Storage and RetrievalInformation Storage and Retrieval; Get new article feedGet new Open Access article feedSubscribe to new volume alerts Add to Favorites Copyright © 2016 Elsevier Ltd. All rights reserved  < Previous vol/iss Next vol/iss > Articles in PressOpen Access articles Volumes 51 - 52 (2015 - 2016)Volumes 51 - 52 (2015 - 2016)Volume 52, Issue 6 pp. 989-1258 (November 2016) Volume 52, Issue 5Volume 52, Issue 5 pp. 721-988 (September 2016) Volume 52, Issue 4 pp. 491-720 (July 2016) Volume 52, Issue 3 pp. 359-490 (May 2016) Volume 52, Issue 2 pp. 173-358 (March 2016) Volume 52, Issue 1 pp. 1-172 (January 2016) Emotion and Sentiment in Social andExpressive Media Volume 51, Issue 6 pp. 757-890 (November 2015) Volume 51, Issue 5 pp. 557-756 (September 2015) Volume 51, Issue 4 pp. 329-556 (July 2015) Volume 51, Issue 3 pp. 215-328 (May 2015) Volume 51, Issue 2 pp. 1-214 (March 2015) Volume 51, Issue 1 pp. 1-252 (January 2015) Volumes 41 - 50 (2005 - 2014)Volumes 41 - 50 (2005 - 2014)Volumes 31 - 40 (1995 - 2004)Volumes 31 - 40 (1995 - 2004)Volumes 21 - 30 (1985 - 1994)Volumes 21 - 30 (1985 - 1994)Volumes 11 - 20 (1975 - 1984)Volumes 11 - 20 (1975 - 1984)Information Processing & ManagementVolume 52, Issue 5, Pages 721-988 (September 2016)  ADVERTISEMENT ADVERTISEMENT  ADVERTISEMENT ADVERTISEMENT  Download PDFsExportExport   All access types  All access types Editorial Board/Publications information Page IFC   PDF (53 K)  Exploring emotional expressions in e-word-of-mouth from onlinecommunities Original Research Article Pages 721-732  Craig Standing, Markus Holzweber, Jan Mattsson AbstractClose research highlights PDF (917 K)••• Highlights The paper is one of the few papers to explore the role of emotion in eWOM.It includes a practical study of a business using eWOM and the data is analyzed.It provides recommendations on how to use emotion in eWOM to encourageparticipation and improve sales.  New query suggestion framework and algorithms: A case study for aneducational search engine Original Research Article Pages 733-752  I. Bahattin Vidinli, Rifat Ozcan AbstractClose research highlights PDF (2039 K)••••• Hightlights Query suggestion (QS) problem is reduced to “comparison of queries” problem. A modular and practical framework is suggested for development of QSalgorithms.Breadth First Search graph traversal method is better for query-log traversing.Combining QS algorithms improves the performance.Suggested new QS algorithms achieved 66–90% performance increase.   A parser for authority control of author names in bibliographic records OriginalResearch Article Pages 753-764  Rafael C. Carrasco, Aureo Serrano, Reydi Castillo-Buergo AbstractClose research highlights PDF (842 K)  Articles 1 - 161 - 16Search all fields    Author name   --This Journal/Book--   Volume   Issue   Page    Advanced search Brought to you by:ECU Library  •••• Highlights  A tool assisting authority control in large bibliographic collections. An efficient data structure accelerates the identification of name variants.The space search is pruned using a parser of complex temporal expressions.The algorithm and the parser’s grammar are distributed as open-sourceresources. FCA based ontology development for data integration OriginalResearch Article Pages 765-782  Gaihua Fu AbstractClose graphical abstractResearch highlights PDF (1702 K)Open Access  A multimodal query expansion based on genetic programming for visually-oriented e-commerce applications Original Research Article Pages 783-800  Patrícia C. Saraiva, João M.B. Cavalcanti, Edleno S. de Moura, Marcos A. Gonçalves,Ricardo da S. Torres AbstractClose research highlights PDF (2751 K)•••••• Highlights  An application of Genetic Programming where the results are better than previousresults found in literature. A comparison of a Genetic Programming solution with two other learning-to-ranktechniques: RankSVM and Random Forests. A multimodal expansion uses the initial query to infer other attributes that arerelevant to the query. A new approach for visually-oriented e-commerce applications. A solution useful when the user is searching for products such as clothing, shoes,handbags, watches, and accessories. A solution that allows finding relevant products related to an image query eventhough their image representation is not similar to the query.  INEX Tweet Contextualization task: Evaluation, results and lessonlearned Original Research Article Pages 801-819  Patrice Bellot, Véronique Moriceau, Josiane Mothe, Eric SanJuan, Xavier Tannier  AbstractClose research highlights PDF (945 K)•••• Highlights  A full summary report on the four-year long Tweet Contextualization task. A detail on evaluation metrics and framework we developed for tweetcontextualization evaluation. A deep analysis of what the participants suggested in their approaches bycategorizing the various methods. A description of the data made available to the community.  Finding cultural heritage images through a Dual-Perspective NavigationFramework Original Research Article Pages 820-839  Yi-Ling Lin, Peter Brusilovsky, Daqing He AbstractClose research highlights PDF (2998 K)   ••• Highlights The framework, DPNF, seamlessly combines faceted browsing and tag-basednavigation.DPNF integrates experts’ subject headings and social tags.DPNF offers a more efficient, effective, and user-oriented interface than singleones.  Assessing the impact of Stemming Accuracy on Information Retrieval – Amultilingual perspective Original Research Article Pages 840-854  Felipe N. Flores, Viviane P. Moreira AbstractClose research highlights PDF (1188 K)••• Highlights We tested the quality of many stemmers for English, French, Spanish andPortuguese with both intrinsic and extrinsic metrics.We found that a correlation between the two types of measures does exist, but itis not as strong as one might have expected.The most accurate stemmer was not the one to have the biggest improvement inInformation Retrieval, in none of the languages.  Fast top-k preserving query processing using two-tier indexes Original Research Article Pages 855-872  Caio Moura Daoud, Edleno Silva de Moura, Andre Carvalho, Altigran Soares da Silva,David Fernandes, Cristian Rossi AbstractClose research highlights PDF (2252 K)••• Highlights We present a new query processing method for text search.We extend the BMW-CS algorithm to now preserve the top- k   results, proposingBMW-CSP.We show through experiments that the method is competitive when compared tobaselines.  Improving Information Retrieval Performance on OCRed Text in the Absenceof Clean Text Ground Truth Original Research Article Pages 873-884  Kripabandhu Ghosh, Anirban Chakraborty, Swapan Kumar Parui, Prasenjit Majumder  AbstractClose research highlights PDF (3372 K)••••••• Highlights The proposed algorithm uses context information to segregate semanticallyrelated error variants from the unrelated ones.String similarity measures are used to join error variants with the correct queryword.The algorithm is tested on Bangla, Hindi and English datasets to show that theproposed approach is language-independent.The Bangla and Hindi datasets have the clean, error-free versions for comparison. So, we have used the performances on the clean text versions asthe performance upper-bounds. In addition, we have compared our methodwith an error modelling approach which, unlike our method, uses the cleanversion.The English dataset is a genuine use case scenario for our algorithm as thisdataset does not have the error-free version.Our proposed method produces significant improvements on most of thebaselines.We have also tested our proposed algorithm on TREC 5 Confusion trackdataset and showed that our proposed method is significantly better than thebaselines.  Helmholtz principle based supervised and unsupervised feature selectionmethods for text mining Original Research Article Pages 885-910  Melike Tutkan, Murat Can Ganiz, Selim Akyokuş AbstractClose research highlights PDF (907 K)   ••••• Highlights We propose new supervised and unsupervised feature selection methods, calledMeaning Based Feature Selection (MBFS), for feature selection in textclassification.We adapt and use the meaning measure as a new method for feature selection.Meaning measure is based on the Helmholtz principle from the Gestalt theory of human perception.MBFS methods are compared with nine different and well-known featureselection methods on six different datasets.Experimental results show that MBFS methods are effective feature selectionmethods and have higher speed than several widely used feature selectionmethods. Efficient identification of node importance in social networks Original Research Article Pages 911-922  Yunyun Yang, Gang Xie AbstractClose research highlights PDF (1326 K)•••• Highlights Based on the theories of comprehensive decision-making, a multiattribute rankingmethod is presented.The proposed method is superior to other methods through contrast experiments.The theories of comprehensive decision-making are utilized to detect importantnodes in social networks.This method can be used in different types and different scales of networks.  Syntactic complexity of Web search queries through the lenses of languagemodels, networks and users Original Research Article Pages 923-948  Rishiraj Saha Roy, Smith Agarwal, Niloy Ganguly, Monojit Choudhury AbstractClose research highlights PDF (2113 K)•••• Highlights We present a holistic view on the syntactic complexity of Web search queries.We use three perspectives: statistical language modeling, complex networkanalysis, and “native speaker” intuition.The three complementary viewpoints show that the syntactic structure of Webqueries is more complex than what n-grams can capture, but simpler than naturallanguage.Queries, thus, seem to represent an intermediate stage between syntactic andnon-syntactic communication.  Measuring user influence on Twitter: A survey Original Research Article Pages 949-975  Fabián Riquelme, Pablo González-Cantergiani AbstractClose research highlights PDF (2327 K)•••• Highlights We survey the several measures that exists in literature to rank influential usersin Twitter network.We propose a classification of these measures according to different criteria,such as the kind of metrics, the use of PageRank algorithm, the use of contentanalysis, among others.Besides the influential users, we also study measures of activity and popularity.We finish by mentioning some aspects of this topic related with computationalcomplexity and correlation measures.  Paper recommendation based on the knowledge gap between a researcher'sbackground knowledge and research target Original Research Article Pages 976-988  Weidong Zhao, Ran Wu, Haitao Liu AbstractClose research highlights PDF (656 K)      Articles 1 - 161 - 16••• Highlights The studied problem is quite important and interesting, especially on the scenarioof online knowledge management.We construct the concept map, where topics and their relationship are well built.We propose a knowledge gap based paper recommendation method.< Previous vol/iss Next vol/iss >  About ScienceDirectRemote accessShopping cartContact and supportTerms and conditionsPrivacy policyCookies are used by this site. For more information, visit the cookies page.Copyright © 2016 Elsevier B.V. or its licensors or contributors. ScienceDirect ¨ is a registered trademark of Elsevier B.V.
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