55,561 research outputs found

    Anatomy of a Conference Twitter Hashtag: #AALL2010

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    Written as a the Tech Talk column for Law Library Lights, this brief article summarizes conference Twitter posts for the American Association of Law Libraries 2010 conference, held in Denver, Colorado. The Twitter content analyzed in the article is available to download from this site as an Excel file or a .tar archive

    Sentiment analysis of health care tweets: review of the methods used.

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    BACKGROUND: Twitter is a microblogging service where users can send and read short 140-character messages called "tweets." There are several unstructured, free-text tweets relating to health care being shared on Twitter, which is becoming a popular area for health care research. Sentiment is a metric commonly used to investigate the positive or negative opinion within these messages. Exploring the methods used for sentiment analysis in Twitter health care research may allow us to better understand the options available for future research in this growing field. OBJECTIVE: The first objective of this study was to understand which tools would be available for sentiment analysis of Twitter health care research, by reviewing existing studies in this area and the methods they used. The second objective was to determine which method would work best in the health care settings, by analyzing how the methods were used to answer specific health care questions, their production, and how their accuracy was analyzed. METHODS: A review of the literature was conducted pertaining to Twitter and health care research, which used a quantitative method of sentiment analysis for the free-text messages (tweets). The study compared the types of tools used in each case and examined methods for tool production, tool training, and analysis of accuracy. RESULTS: A total of 12 papers studying the quantitative measurement of sentiment in the health care setting were found. More than half of these studies produced tools specifically for their research, 4 used open source tools available freely, and 2 used commercially available software. Moreover, 4 out of the 12 tools were trained using a smaller sample of the study's final data. The sentiment method was trained against, on an average, 0.45% (2816/627,024) of the total sample data. One of the 12 papers commented on the analysis of accuracy of the tool used. CONCLUSIONS: Multiple methods are used for sentiment analysis of tweets in the health care setting. These range from self-produced basic categorizations to more complex and expensive commercial software. The open source and commercial methods are developed on product reviews and generic social media messages. None of these methods have been extensively tested against a corpus of health care messages to check their accuracy. This study suggests that there is a need for an accurate and tested tool for sentiment analysis of tweets trained using a health care setting-specific corpus of manually annotated tweets first

    Researching Writing Program Administration Expertise in Action: A Case Study of Collaborative Problem Solving as Transdisciplinary Practice

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    Theorizing WPA expertise as problem-oriented, stakeholder-inclusive practice, we apply the twenty-first-century paradigm of transdisciplinarity to a campus WID Initiative to read and argue that data-driven research capturing transdisciplinary WPA methods in action will allow us to better understand, represent, and leverage rhetoric-composition/writing studies’ disciplinary expertise in twenty-first-century higher education

    YourMOOC4all: a MOOCs inclusive design and useful feedback research project

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    User feedback can be of great value for the development of guidelines to design MOOC platforms, courses, and open educational resources. Considering other learners’ experiences may benefit the development of course recommender systems that consider not only the quality of the content but also the level of accessibility to address disabled learners needs. In this paper a novel design for a recommender website is introduced which collects user feedback requests for Massive Open Online Courses (MOOCs), offering the possibility to freely rate the taken courses following Universal Design for Learning (UDL) principles. The development of this website, which is currently in a pilot process by UNED, will gather valuable information directly from the learners themselves to improve aspects such as the educational quality, accessibility, and usability of this open learning environment advising about the missing means regarding inclusive design

    With the Support of Listeners Like You : Lessons from U.S. Public Radio

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    This chapter provides an assessment of public broadcasting in the United States. It asserts that European public service broadcasting (PSB) could learn from U.S. practices that may prove to be particularly relevant in the current PSB climate

    Initiating and Sustaining Female Networks in Computer Science and IT

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    Over the last decade, several networks and communities for women in IT have been initiated. It has been known that specific needs for support exist where members of a minority have difficulties in finding like-minded people in their everyday environment. This paper investigates different forms of female networks in Computer Science and IT. In particular, it analyses forms of network initiation, which often involve face-to-face meetings at regular events like conferences or, increasingly, at summer universities for female students. We conducted three studies to identify the attendees' expectations and needs for support using questionnaires, interviews, and a wiki analysis. This paper aims at identifying effective strategies for initiating female networks

    Transactional distance in a blended learning environment

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    This paper presents a case study that describes and discusses the problems encountered during the design and implementation of a blended learning course, largely taught online through a web-based learning environment. Based on Moore's theory of transactional distance, the course was explicitly designed to have dialogue at its heart. However, the reality of systemic behaviours caused by delivering such a course within a group of conventional further and higher educational institutions has led to an entirely unanticipated reversion to structure, with unpleasant consequences for both quality and quantity of dialogue. The paper looks at some of the reasons for this drift, and suggests that some of the disappointing results (in particular in terms of the quality of the students' experience and associated poor retention) can be attributed to the lack of dialogue, and consequent increase in transactional distance. It concludes with a description and evaluation of steps currently being taken to correct this behaviour
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