[ { "key": "MUNE2ZGG", "version": 2, "library": { "type": "group", "id": 427509, "name": "Sentiment Analysis TAIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/427509/items/MUNE2ZGG", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais/items/MUNE2ZGG", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2546035, "username": "davidsneos", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/davidsneos", "type": "text/html" } } }, "creatorSummary": "Lau et al.", "parsedDate": "2009-08", "numChildren": 0 }, "data": { "key": "MUNE2ZGG", "version": 2, "itemType": "conferencePaper", "title": "Leveraging the web context for context-sensitive opinion mining", "creators": [ { "creatorType": "author", "firstName": "R.Y.K.", "lastName": "Lau" }, { "creatorType": "author", "firstName": "C.L.", "lastName": "Lai" }, { "creatorType": "author", "firstName": "Yuefeng", "lastName": "Li" } ], "abstractNote": "Existing automated opinion mining methods either employ a static lexicon-based approach or a supervised learning approach. Nevertheless, the former method often fails to identify context-sensitive semantics of the opinion words, and the latter approach requires a large number of human labeled training examples. The main contribution of this paper is the illustration of a novel opinion mining method underpinned by context-sensitive text mining and inferential language modeling to improve the effectiveness of opinion mining. Our initial experiments show that the proposed the inferential opinion mining method outperforms the purely lexicon-based opinion finding method in terms of several benchmark measures. Our research opens the door to the development of more effective opinion mining method to discover business intelligence from the Web knowledge base.", "proceedingsTitle": "2nd IEEE International Conference on Computer Science and Information Technology, 2009. ICCSIT 2009", "conferenceName": "2nd IEEE International Conference on Computer Science and Information Technology, 2009. ICCSIT 2009", "publisher": "", "place": "", "date": "August 2009", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "467-471", "series": "", "seriesNumber": "", "DOI": "10.1109/ICCSIT.2009.5234821", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Blogs", "type": 1 }, { "tag": "Context modeling", "type": 1 }, { "tag": "Context-Sensitive Text Mining", "type": 1 }, { "tag": "Data mining", "type": 1 }, { "tag": "Electronic mail", "type": 1 }, { "tag": "Information systems", "type": 1 }, { "tag": "Information technology", "type": 1 }, { "tag": "Internet", "type": 1 }, { "tag": "Motion pictures", "type": 1 }, { "tag": "Statistical learning", "type": 1 }, { "tag": "Web context", "type": 1 }, { "tag": "Web knowledge", "type": 1 }, { "tag": "Web pages", "type": 1 }, { "tag": "business intelligence", "type": 1 }, { "tag": "competitive intelligence", "type": 1 }, { "tag": "context-sensitive languages", "type": 1 }, { "tag": "context-sensitive opinion mining", "type": 1 }, { "tag": "context-sensitive semantics", "type": 1 }, { "tag": "human labeled training examples", "type": 1 }, { "tag": "inferential language modeling", "type": 1 }, { "tag": "opinion mining", "type": 1 }, { "tag": "sentiment analysis", "type": 1 }, { "tag": "static lexicon", "type": 1 }, { "tag": "supervised learning", "type": 1 }, { "tag": "text mining", "type": 1 } ], "collections": [ "XIW4I8I2" ], "relations": {}, "dateAdded": "2015-11-09T01:00:13Z", "dateModified": "2015-11-09T01:00:13Z" } }, { "key": "86DK2ME7", "version": 2, "library": { "type": "group", "id": 427509, "name": "Sentiment Analysis TAIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/427509/items/86DK2ME7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais/items/86DK2ME7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2546035, "username": "davidsneos", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/davidsneos", "type": "text/html" } } }, "creatorSummary": "Bai et al.", "parsedDate": "2013-11", "numChildren": 0 }, "data": { "key": "86DK2ME7", "version": 2, "itemType": "conferencePaper", "title": "Predicting Big Five Personality Traits of Microblog Users", "creators": [ { "creatorType": "author", "firstName": "Shuotian", "lastName": "Bai" }, { "creatorType": "author", "firstName": "Bibo", "lastName": "Hao" }, { "creatorType": "author", "firstName": "Ang", "lastName": "Li" }, { "creatorType": "author", "firstName": "Sha", "lastName": "Yuan" }, { "creatorType": "author", "firstName": "Rui", "lastName": "Gao" }, { "creatorType": "author", "firstName": "Tingshao", "lastName": "Zhu" } ], "abstractNote": "Personality can be defined as a set of characteristics which makes a person unique. The study of personality is of central importance in psychology. Conventional personality assessment is performed by self-report inventory, which costs much manual efforts and cannot be done in real time. To solve these problems, this research aims to measure the Big-Five personality from the usages of Sina Microblog objectively. By conducting a user study with 444 users, this paper proposes multi-task regression and incremental regression algorithms to predict the Big-Five personality from online behaviors. The results indicate that personality can be predicted with a high accuracy through online Microblog usage.", "proceedingsTitle": "2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)", "conferenceName": "2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)", "publisher": "", "place": "", "date": "November 2013", "eventPlace": "", "volume": "1", "issue": "", "numberOfVolumes": "", "pages": "501-508", "series": "", "seriesNumber": "", "DOI": "10.1109/WI-IAT.2013.70", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Arrays", "type": 1 }, { "tag": "Big Five personality trait prediction", "type": 1 }, { "tag": "Big-Five personality", "type": 1 }, { "tag": "Correlation", "type": 1 }, { "tag": "Data mining", "type": 1 }, { "tag": "Feature extraction", "type": 1 }, { "tag": "Linear regression", "type": 1 }, { "tag": "Noise measurement", "type": 1 }, { "tag": "Predictive models", "type": 1 }, { "tag": "Sina Microblog", "type": 1 }, { "tag": "Sina microblogs", "type": 1 }, { "tag": "Training", "type": 1 }, { "tag": "behavioural sciences computing", "type": 1 }, { "tag": "incremental regression algorithm", "type": 1 }, { "tag": "microblog users", "type": 1 }, { "tag": "multitask regression algorithm", "type": 1 }, { "tag": "online behavior", "type": 1 }, { "tag": "online microblog usage", "type": 1 }, { "tag": "personal characteristics", "type": 1 }, { "tag": "personality", "type": 1 }, { "tag": "personality assessment", "type": 1 }, { "tag": "predic-tion", "type": 1 }, { "tag": "psychology", "type": 1 }, { "tag": "regression", "type": 1 }, { "tag": "regression analysis", "type": 1 }, { "tag": "self-report inventory", "type": 1 }, { "tag": "social networking (online)", "type": 1 } ], "collections": [ "XIW4I8I2" ], "relations": {}, "dateAdded": "2015-11-09T01:00:13Z", "dateModified": "2015-11-09T01:00:13Z" } }, { "key": "7BGSVFIH", "version": 2, "library": { "type": "group", "id": 427509, "name": "Sentiment Analysis TAIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/427509/items/7BGSVFIH", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais/items/7BGSVFIH", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2546035, "username": "davidsneos", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/davidsneos", "type": "text/html" } } }, "creatorSummary": "Bazelli et al.", "parsedDate": "2013-09", "numChildren": 0 }, "data": { "key": "7BGSVFIH", "version": 2, "itemType": "conferencePaper", "title": "On the Personality Traits of StackOverflow Users", "creators": [ { "creatorType": "author", "firstName": "B.", "lastName": "Bazelli" }, { "creatorType": "author", "firstName": "A.", "lastName": "Hindle" }, { "creatorType": "author", "firstName": "E.", "lastName": "Stroulia" } ], "abstractNote": "In the last decade, developers have been increasingly sharing their questions with each other through Question and Answer (Q&A) websites. As a result, these websites have become valuable knowledge repositories, covering a wealth of topics related to particular programming languages. This knowledge is even more useful as the developer community evaluates both questions and answers through a voting mechanism. As votes accumulate, the developer community recognizes reputed members and further trusts their answers. In this paper, we analyze the community's questions and answers to determine the developers' personality traits, using the Linguistic Inquiry and Word Count (LIWC). We explore the personality traits of Stack Overflow authors by categorizing them into different categories based on their reputation. Through textual analysis of Stack Overflow posts, we found that the top reputed authors are more extroverted compared to medium and low reputed users. Moreover, authors of up-voted posts express significantly less negative emotions than authors of down-voted posts.", "proceedingsTitle": "2013 29th IEEE International Conference on Software Maintenance (ICSM)", "conferenceName": "2013 29th IEEE International Conference on Software Maintenance (ICSM)", "publisher": "", "place": "", "date": "Sept 2013", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "460-463", "series": "", "seriesNumber": "", "DOI": "10.1109/ICSM.2013.72", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Analysis of variance", "type": 1 }, { "tag": "Androids", "type": 1 }, { "tag": "Communities", "type": 1 }, { "tag": "Dictionaries", "type": 1 }, { "tag": "Humanoid robots", "type": 1 }, { "tag": "Java", "type": 1 }, { "tag": "LIWC", "type": 1 }, { "tag": "Pragmatics", "type": 1 }, { "tag": "Q&A Websites", "type": 1 }, { "tag": "Question and Answer Websites", "type": 1 }, { "tag": "StackOverflow users", "type": 1 }, { "tag": "Web sites", "type": 1 }, { "tag": "categorization", "type": 1 }, { "tag": "developers personality traits", "type": 1 }, { "tag": "linguistic inquiry and word count", "type": 1 }, { "tag": "psychology", "type": 1 }, { "tag": "text analysis", "type": 1 }, { "tag": "textual analysis", "type": 1 } ], "collections": [ "XIW4I8I2" ], "relations": {}, "dateAdded": "2015-11-09T01:00:13Z", "dateModified": "2015-11-09T01:00:13Z" } }, { "key": "TURZP6QN", "version": 2, "library": { "type": "group", "id": 427509, "name": "Sentiment Analysis TAIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/427509/items/TURZP6QN", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais/items/TURZP6QN", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2546035, "username": "davidsneos", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/davidsneos", "type": "text/html" } } }, "creatorSummary": "Ganeshbhai and Shah", "parsedDate": "2015-06", "numChildren": 0 }, "data": { "key": "TURZP6QN", "version": 2, "itemType": "conferencePaper", "title": "Feature based opinion mining: A survey", "creators": [ { "creatorType": "author", "firstName": "S.Y.", "lastName": "Ganeshbhai" }, { "creatorType": "author", "firstName": "B.K.", "lastName": "Shah" } ], "abstractNote": "In olden days people were only information consumers but since advent of Web 2.0 they plays more important role in publishing information on Web in the form of comments and reviews. The user generated content forced organization to pay attention towards analyzing this content for better visualization of public's opinion. Opinion mining or Sentiment analysis is an autonomous text analysis and summarization system for reviews available on Web. Opinion mining aims for distinguishing the emotions expressed within the reviews, classifying them into positive or negative and summarizing into the form that is quickly understood by users. Feature based opinion mining performs fine-grain analysis by recognizing individual features of an object upon which user has expressed opinion. This paper gives an insight of various methods proposed in the area of feature based opinion mining and also discuss the limitations of existing work and future direction in feature based opinion mining.", "proceedingsTitle": "Advance Computing Conference (IACC), 2015 IEEE International", "conferenceName": "Advance Computing Conference (IACC), 2015 IEEE International", "publisher": "", "place": "", "date": "June 2015", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "919-923", "series": "", "seriesNumber": "", "DOI": "10.1109/IADCC.2015.7154839", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Feature based opinion mining", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Classification algorithms", "type": 1 }, { "tag": "Data mining", "type": 1 }, { "tag": "Dictionaries", "type": 1 }, { "tag": "Feature extraction", "type": 1 }, { "tag": "Internet", "type": 1 }, { "tag": "NLP", "type": 1 }, { "tag": "Opinion summarization", "type": 1 }, { "tag": "Pragmatics", "type": 1 }, { "tag": "Semantics", "type": 1 }, { "tag": "Sentiment classification", "type": 1 }, { "tag": "Web 2.0", "type": 1 }, { "tag": "fine-grain analysis", "type": 1 }, { "tag": "natural language processing", "type": 1 }, { "tag": "opinion mining", "type": 1 }, { "tag": "sentiment analysis", "type": 1 }, { "tag": "summarization system", "type": 1 }, { "tag": "text analysis", "type": 1 } ], "collections": [ "XIW4I8I2" ], "relations": {}, "dateAdded": "2015-11-09T01:00:13Z", "dateModified": "2015-11-09T01:00:13Z" } }, { "key": "KQ4KVBDS", "version": 2, "library": { "type": "group", "id": 427509, "name": "Sentiment Analysis TAIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/427509/items/KQ4KVBDS", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais/items/KQ4KVBDS", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2546035, "username": "davidsneos", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/davidsneos", "type": "text/html" } } }, "creatorSummary": "Tanasescu et al.", "parsedDate": "2013-07", "numChildren": 0 }, "data": { "key": "KQ4KVBDS", "version": 2, "itemType": "conferencePaper", "title": "The Personality of Venues: Places and the Five-Factors ('Big Five') Model of Personality", "creators": [ { "creatorType": "author", "firstName": "V.", "lastName": "Tanasescu" }, { "creatorType": "author", "firstName": "C.B.", "lastName": "Jones" }, { "creatorType": "author", "firstName": "G.", "lastName": "Colombo" }, { "creatorType": "author", "firstName": "M.J.", "lastName": "Chorley" }, { "creatorType": "author", "firstName": "S.M.", "lastName": "Allen" }, { "creatorType": "author", "firstName": "R.M.", "lastName": "Whitaker" } ], "abstractNote": "Venues are often described by their type and characteristics, while their level of appreciation by users is indicated through a score (star rating). However the judgement on a particular venue by an individual may more influenced by the individual's experience and personality. In psychology, the five-factor model of personality, or 'Big Five' model, describes an individual's personality in terms of openness, conscientiousness, extraversion, agreeableness and neuroticism. This work explores the notion of 'personality of a venue' by reference to personality traits research in psychology. To determine the personality of a venue, keywords are extracted from reviews of venues, and matched to terms indicative of personality traits dimensions. The work is completed with a human experiment where participants qualify venues according to a set of personality descriptors. Correlations are found between the human annotators and the automated extraction approach.", "proceedingsTitle": "Geo), 2013 Fourth International Conference on Computing for Geospatial Research and Application (COM", "conferenceName": "Geo), 2013 Fourth International Conference on Computing for Geospatial Research and Application (COM", "publisher": "", "place": "", "date": "July 2013", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "76-81", "series": "", "seriesNumber": "", "DOI": "10.1109/COMGEO.2013.12", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "The Personality of Venues", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Correlation", "type": 1 }, { "tag": "Data mining", "type": 1 }, { "tag": "Educational institutions", "type": 1 }, { "tag": "Five Factor Model", "type": 1 }, { "tag": "Oceans", "type": 1 }, { "tag": "Vectors", "type": 1 }, { "tag": "Venus", "type": 1 }, { "tag": "automated extraction approach", "type": 1 }, { "tag": "big five model", "type": 1 }, { "tag": "five-factor model", "type": 1 }, { "tag": "human annotators", "type": 1 }, { "tag": "location based Web services", "type": 1 }, { "tag": "personality", "type": 1 }, { "tag": "personality traits", "type": 1 }, { "tag": "place", "type": 1 }, { "tag": "psychology", "type": 1 }, { "tag": "recommendation", "type": 1 }, { "tag": "reviews", "type": 1 } ], "collections": [ "XIW4I8I2" ], "relations": {}, "dateAdded": "2015-11-09T01:00:13Z", "dateModified": "2015-11-09T01:00:13Z" } }, { "key": "MEHJ3ACX", "version": 2, "library": { "type": "group", "id": 427509, "name": "Sentiment Analysis TAIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/427509/items/MEHJ3ACX", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais/items/MEHJ3ACX", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2546035, "username": "davidsneos", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/davidsneos", "type": "text/html" } } }, "creatorSummary": "Hannay et al.", "parsedDate": "2010-01", "numChildren": 0 }, "data": { "key": "MEHJ3ACX", "version": 2, "itemType": "journalArticle", "title": "Effects of Personality on Pair Programming", "creators": [ { "creatorType": "author", "firstName": "J.E.", "lastName": "Hannay" }, { "creatorType": "author", "firstName": "E.", "lastName": "Arisholm" }, { "creatorType": "author", "firstName": "H.", "lastName": "Engvik" }, { "creatorType": "author", "firstName": "Dag I.K.", "lastName": "Sjoberg" } ], "abstractNote": "Personality tests in various guises are commonly used in recruitment and career counseling industries. Such tests have also been considered as instruments for predicting the job performance of software professionals both individually and in teams. However, research suggests that other human-related factors such as motivation, general mental ability, expertise, and task complexity also affect the performance in general. This paper reports on a study of the impact of the Big Five personality traits on the performance of pair programmers together with the impact of expertise and task complexity. The study involved 196 software professionals in three countries forming 98 pairs. The analysis consisted of a confirmatory part and an exploratory part. The results show that: (1) Our data do not confirm a meta-analysis-based model of the impact of certain personality traits on performance and (2) personality traits, in general, have modest predictive value on pair programming performance compared with expertise, task complexity, and country. We conclude that more effort should be spent on investigating other performance-related predictors such as expertise, and task complexity, as well as other promising predictors, such as programming skill and learning. We also conclude that effort should be spent on elaborating on the effects of personality on various measures of collaboration, which, in turn, may be used to predict and influence performance. Insights into such malleable, rather than static, factors may then be used to improve pair programming performance.", "publicationTitle": "IEEE Transactions on Software Engineering", "publisher": "", "place": "", "date": "January 2010", "volume": "36", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "61-80", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1109/TSE.2009.41", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0098-5589", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Big Five", "type": 1 }, { "tag": "Programming", "type": 1 }, { "tag": "career counseling industries", "type": 1 }, { "tag": "expertise", "type": 1 }, { "tag": "human factors", "type": 1 }, { "tag": "job performance", "type": 1 }, { "tag": "meta-analysis-based model", "type": 1 }, { "tag": "pair programming", "type": 1 }, { "tag": "performance-related predictors", "type": 1 }, { "tag": "performance.", "type": 1 }, { "tag": "personality", "type": 1 }, { "tag": "personality tests", "type": 1 }, { "tag": "personality traits", "type": 1 }, { "tag": "personnel", "type": 1 }, { "tag": "recruitment", "type": 1 }, { "tag": "recruitment industries", "type": 1 }, { "tag": "software professionals", "type": 1 }, { "tag": "task complexity", "type": 1 }, { "tag": "team working", "type": 1 } ], "collections": [ "XIW4I8I2" ], "relations": {}, "dateAdded": "2015-11-09T01:00:13Z", "dateModified": "2015-11-09T01:00:13Z" } }, { "key": "S4JFKCUN", "version": 2, "library": { "type": "group", "id": 427509, "name": "Sentiment Analysis TAIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/427509/items/S4JFKCUN", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais/items/S4JFKCUN", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2546035, "username": "davidsneos", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/davidsneos", "type": "text/html" } } }, "creatorSummary": "Ji and Hong-yu", "parsedDate": "2009-08", "numChildren": 0 }, "data": { "key": "S4JFKCUN", "version": 2, "itemType": "conferencePaper", "title": "A research on the construction of team leadership effectiveness and its relationship with big-five personality", "creators": [ { "creatorType": "author", "firstName": "Gao", "lastName": "Ji" }, { "creatorType": "author", "firstName": "Ma", "lastName": "Hong-yu" } ], "abstractNote": "Methods based on the relative team theory and logical analysis, the paper supposed the theoretical model of the team leadership effectiveness questionnaire. Date was collected from 237 students who had the experience of student organization, The team leadership effectiveness questionnaire was composed of perceived leadership effectiveness, leadership satisfaction, and task achievement by means of expletory factor analysis, the cumulative variance was 64.43%. Furthermore, 28 task teams completed the team leadership effectiveness questionnaire; the result of confirmatory factor analysis supported the theoretical model of the team leadership effectiveness questionnaire. The validation and reliability of the questionnaire were good. The results of correlation analysis showed that there was no differences between self and other assessment, team leader's personality have a moderate influence on team leadership effectiveness.", "proceedingsTitle": "ISECS International Colloquium on Computing, Communication, Control, and Management, 2009. CCCM 2009", "conferenceName": "ISECS International Colloquium on Computing, Communication, Control, and Management, 2009. CCCM 2009", "publisher": "", "place": "", "date": "August 2009", "eventPlace": "", "volume": "3", "issue": "", "numberOfVolumes": "", "pages": "457-460", "series": "", "seriesNumber": "", "DOI": "10.1109/CCCM.2009.5267832", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Atmosphere", "type": 1 }, { "tag": "Big-Five personality", "type": 1 }, { "tag": "Centralized control", "type": 1 }, { "tag": "Communication system control", "type": 1 }, { "tag": "Instruments", "type": 1 }, { "tag": "Team", "type": 1 }, { "tag": "Team leadership effectiveness", "type": 1 }, { "tag": "confirmatory factor analysis", "type": 1 }, { "tag": "correlation analysis", "type": 1 }, { "tag": "expletory factor analysis", "type": 1 }, { "tag": "leadership satisfaction", "type": 1 }, { "tag": "perceived leadership effectiveness", "type": 1 }, { "tag": "psychology", "type": 1 }, { "tag": "self assessment", "type": 1 }, { "tag": "social sciences", "type": 1 }, { "tag": "student organization experience", "type": 1 }, { "tag": "task achievement", "type": 1 }, { "tag": "team leadership construction research", "type": 1 }, { "tag": "team leadership effectiveness questionnaire", "type": 1 }, { "tag": "team theory", "type": 1 }, { "tag": "team working", "type": 1 } ], "collections": [ "XIW4I8I2" ], "relations": {}, "dateAdded": "2015-11-09T01:00:13Z", "dateModified": "2015-11-09T01:00:13Z" } }, { "key": "6C3DHEKM", "version": 2, "library": { "type": "group", "id": 427509, "name": "Sentiment Analysis TAIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/427509/items/6C3DHEKM", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais/items/6C3DHEKM", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2546035, "username": "davidsneos", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/davidsneos", "type": "text/html" } } }, "creatorSummary": "Rehman et al.", "parsedDate": "2012-06", "numChildren": 0 }, "data": { "key": "6C3DHEKM", "version": 2, "itemType": "conferencePaper", "title": "Mapping job requirements of software engineers to Big Five Personality Traits", "creators": [ { "creatorType": "author", "firstName": "M.", "lastName": "Rehman" }, { "creatorType": "author", "firstName": "A.K.", "lastName": "Mahmood" }, { "creatorType": "author", "firstName": "R.", "lastName": "Salleh" }, { "creatorType": "author", "firstName": "A.", "lastName": "Amin" } ], "abstractNote": "Software engineering is a booming industry and is contributing to world economy in terms of providing employment and monetary benefits. Unfortunately, despite its importance, research in this field is still not mature. Studies so far done in this field have heavily focused on technical aspects rather than non-technical. In fact, software development is a human activity (performed by humans) which emphasizes the importance of research on non-technical (human or soft aspects) of software engineering. Recently there has been an increase on studies which are focusing more on the soft aspects of software engineering. This study also focuses on the human aspect of software engineering namely personality. Software engineers belong to various categories and their roles differ from each other based on their job requirements and skills needed to perform those jobs. This study mapped the hard and soft skills required by various software engineers and then linked them to personality traits using Big Five Personality Traits.", "proceedingsTitle": "2012 International Conference on Computer Information Science (ICCIS)", "conferenceName": "2012 International Conference on Computer Information Science (ICCIS)", "publisher": "", "place": "", "date": "June 2012", "eventPlace": "", "volume": "2", "issue": "", "numberOfVolumes": "", "pages": "1115-1122", "series": "", "seriesNumber": "", "DOI": "10.1109/ICCISci.2012.6297193", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Big Five", "type": 1 }, { "tag": "Employment", "type": 1 }, { "tag": "MBTI", "type": 1 }, { "tag": "Software", "type": 1 }, { "tag": "Software engineering", "type": 1 }, { "tag": "employment benefits", "type": 1 }, { "tag": "hard skills", "type": 1 }, { "tag": "job requirements mapping", "type": 1 }, { "tag": "monetary benefits", "type": 1 }, { "tag": "personality traits", "type": 1 }, { "tag": "psychology", "type": 1 }, { "tag": "soft aspects", "type": 1 }, { "tag": "software development", "type": 1 }, { "tag": "software development management", "type": 1 }, { "tag": "software engineers", "type": 1 } ], "collections": [ "XIW4I8I2" ], "relations": {}, "dateAdded": "2015-11-09T01:00:13Z", "dateModified": "2015-11-09T01:00:13Z" } }, { "key": "D9ZWXE5V", "version": 2, "library": { "type": "group", "id": 427509, "name": "Sentiment Analysis TAIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/427509/items/D9ZWXE5V", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/sentiment_analysis_tais/items/D9ZWXE5V", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2546035, "username": "davidsneos", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/davidsneos", "type": "text/html" } } }, "creatorSummary": "Sumner et al.", "parsedDate": "2012-12", "numChildren": 0 }, "data": { "key": "D9ZWXE5V", "version": 2, "itemType": "conferencePaper", "title": "Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets", "creators": [ { "creatorType": "author", "firstName": "C.", "lastName": "Sumner" }, { "creatorType": "author", "firstName": "A.", "lastName": "Byers" }, { "creatorType": "author", "firstName": "R.", "lastName": "Boochever" }, { "creatorType": "author", "firstName": "G.J.", "lastName": "Park" } ], "abstractNote": "Social media sites are now the most popular destination for Internet users, providing social scientists with a great opportunity to understand online behaviour. There are a growing number of research papers related to social media, a small number of which focus on personality prediction. To date, studies have typically focused on the Big Five traits of personality, but one area which is relatively unexplored is that of the anti-social traits of narcissism, Machiavellians and psychopathy, commonly referred to as the Dark Triad. This study explored the extent to which it is possible to determine anti-social personality traits based on Twitter use. This was performed by comparing the Dark Triad and Big Five personality traits of 2,927 Twitter users with their profile attributes and use of language. Analysis shows that there are some statistically significant relationships between these variables. Through the use of crowd sourced machine learning algorithms, we show that machine learning provides useful prediction rates, but is imperfect in predicting an individual's Dark Triad traits from Twitter activity. While predictive models may be unsuitable for predicting an individual's personality, they may still be of practical importance when models are applied to large groups of people, such as gaining the ability to see whether anti-social traits are increasing or decreasing over a population. Our results raise important questions related to the unregulated use of social media analysis for screening purposes. It is important that the practical and ethical implications of drawing conclusions about personal information embedded in social media sites are better understood.", "proceedingsTitle": "2012 11th International Conference on Machine Learning and Applications (ICMLA)", "conferenceName": "2012 11th International Conference on Machine Learning and Applications (ICMLA)", "publisher": "", "place": "", "date": "December 2012", "eventPlace": "", "volume": "2", "issue": "", "numberOfVolumes": "", "pages": "386-393", "series": "", "seriesNumber": "", "DOI": "10.1109/ICMLA.2012.218", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Dark Triad", "type": 1 }, { "tag": "Internet", "type": 1 }, { "tag": "Machine learning", "type": 1 }, { "tag": "Media", "type": 1 }, { "tag": "Observers", "type": 1 }, { "tag": "Pragmatics", "type": 1 }, { "tag": "Predictive models", "type": 1 }, { "tag": "Social Networks", "type": 1 }, { "tag": "Tweets", "type": 1 }, { "tag": "Twitter", "type": 1 }, { "tag": "Twitter usage", "type": 1 }, { "tag": "learning (artificial intelligence)", "type": 1 }, { "tag": "linguistic analysis", "type": 1 }, { "tag": "machine learning algorithms", "type": 1 }, { "tag": "multimedia computing", "type": 1 }, { "tag": "natural language processing", "type": 1 }, { "tag": "online behaviour", "type": 1 }, { "tag": "personality", "type": 1 }, { "tag": "personality prediction", "type": 1 }, { "tag": "predicting dark triad personality traits", "type": 1 }, { "tag": "social media sites", "type": 1 }, { "tag": "social networking (online)", "type": 1 }, { "tag": "social scientists", "type": 1 } ], "collections": [ "XIW4I8I2" ], "relations": {}, "dateAdded": "2015-11-09T01:00:13Z", "dateModified": "2015-11-09T01:00:13Z" } } ]