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Predicting Tags for StackOverflow Posts
"... Hashtags created by authors of online content provide a view of a user’s goals and interests. Predicting users ’ interests can lead to improved, more user centered human-computer systems. Large-scale behavioral datasets such as Twitter, Facebook, LinkedIn, StackOverflow, and Yelp can be mined and ex ..."
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Cited by 2 (0 self)
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and explored to study these hashtags and how they relate to users ’ interests. We explored the StackOverflow dataset, and developed an ACT-R inspired Bayesian probabilistic model that can predict the hashtags used by the author of the post. The model is 65 % accurate when tasked to predict one tag per post
StORMeD: Stack Overflow ready made data
- In Proceedings of MSR 2015 (12th Working Conference on Mining Software Repositories
, 2015
"... (Q&A) website for developers, and it has been used in many approaches by software engineering researchers to mine useful data. However, the contents of a Stack Overflow discussion are inherently heterogeneous, mixing natural language, source code, stack traces and configuration files in XML or J ..."
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Cited by 1 (1 self)
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or JSON format. We constructed a full island grammar capable of modeling the set of 700,000 Stack Overflow discussions talking about Java, building a heterogeneous abstract syntax tree (H-AST) of each post (question, answer or comment) in a discussion. The resulting dataset models every Stack Overflow
Embedded Emotion-based Classification of Stack Overflow Questions Towards the Question Quality Prediction
"... Abstract-Software developers often ask questions in Stack Overflow Q & A site, and their posted questions sometimes do not meet the standard guidelines. As a consequence, some of the questions are edited by expert users, some of them are down-voted, or some are even deleted permanently. Besides ..."
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Abstract-Software developers often ask questions in Stack Overflow Q & A site, and their posted questions sometimes do not meet the standard guidelines. As a consequence, some of the questions are edited by expert users, some of them are down-voted, or some are even deleted permanently
Multi-Factor Duplicate Question Detection in Stack Over
, 2014
"... Abstract Stack Overflow is a popular on-line question and answer site for software developers to share their experience and expertise. Among the numerous questions posted in Stack Overflow, two or more of them may express the same point and thus are duplicates of one another. Duplicate questions mak ..."
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Abstract Stack Overflow is a popular on-line question and answer site for software developers to share their experience and expertise. Among the numerous questions posted in Stack Overflow, two or more of them may express the same point and thus are duplicates of one another. Duplicate questions
Tagging the Bard: Evaluating the Accuracy of a Modern POS Tagger on Early Modern English Corpora Abstract
"... In this paper we focus on automatic part-of-speech (POS) annotation, in the context of historical English texts. Techniques that were originally developed for modern English have been applied to numerous other languages over recent years. Despite this diversification, it is still almost invariably t ..."
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Cited by 27 (4 self)
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-based and statistical tool for English, and use as experimental data the Shakespeare First Folio and the Lampeter Corpus. First, using a manually post-edited test set, we evaluate the accuracy of CLAWS when no modifications are made either to its grammatical model or to its lexicon. We then compare this output
Is It Good to Be Like Wikipedia?: Exploring the Trade-offs of Introducing Collaborative Editing Model to Q&A Sites
"... ABSTRACT Online question and answer (Q&A) sites, which are platforms for users to post and answer questions on a wide range of topics, are becoming large repositories of valuable knowledge and important to societies. In order to sustain success, Q&A sites face the challenges of ensuring con ..."
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. By examining five years' archival data of Stack Overflow, we found that the benefits of collaborative editing outweigh its risks. For example, each substantive edit from other users can increase the number of positive votes by 181% for the questions and 119% for the answers. On the other hand, each edit
unknown title
"... Comparing vector-based and ACT-R memory models using large-scale datasets: User-customized hashtag and tag prediction on Twitter and StackOverflow by Clayton Stanley The growth of social media and user-created content on online sites provides unique opportunities to study models of declarative memor ..."
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Comparing vector-based and ACT-R memory models using large-scale datasets: User-customized hashtag and tag prediction on Twitter and StackOverflow by Clayton Stanley The growth of social media and user-created content on online sites provides unique opportunities to study models of declarative
Predicting Best Answerers for New Questions : An Approach Leveraging Topic Modeling and Collaborative Voting
- in SocInfo’14, 2014
"... Abstract. Community Question Answering (CQA) sites are becom-ing increasingly important source of information where users can share knowledge on various topics. Although these platforms bring new op-portunities for users to seek help or provide solutions, they also pose many challenges with the ever ..."
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Cited by 2 (1 self)
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-plied our model on a dataset extracted from StackOverflow, one of the biggest CQA sites. The results show that our approach outperforms the TF-IDF based approach.
Wiki, Absurd Yet Successful: A Position Paper for CHI 2011 Workshop on Crowdsourcing and Human Computation
"... Over the past decade, a new model of collaborative knowledge synthesis and production has emerged: wikis, which invert the classical publishing model (review happens after publication, not before). Further, the wiki philosophy calls for extremely open access (anyone who can read the wiki can also ed ..."
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Stack Overflow offer wiki features, but answers are rarely revised by anyone other than the original author, if at all)? Can wikis be used to thoughtfully compare the arguments for and against a contentious legislative proposal (an area being explored by Sen
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