1,720,954 research outputs found
Language independent sentiment analysis of the Shukran social network using apache spark
No full textThis paper describes theShukran Sentiment Analysis system. TheShukran is a social network micro-blogging service that allows users posting photos or videos and descriptions of their daily life activities. This social network rapidly gained a large amount of users. It provides people from different cultures and countries the possibility to share in different languages their stories, ideas, opinions, and news from their real life, and makes the cultural diversity the center of relationships between its users. Sentiment analysis aims to extract the opinion of the public about some topic by processing text data. One of its several tasks, the polarity detection, aims at categorizing the elements in a dataset (sentences, posts, etc.) into classes such as positive, negative and neutral. In the system we propose, and that represents the sentiment analysis core engine of theShukran social network, we will detect the original language of users posts, translate them into English and evaluate their sentiment (whether positive, negative or neutral). We propose the use of a Naive Bayes classifier and SentiWordNet and SenticNet for the sentiment evaluation. The language detection and translation are performed using TextBlob, a Python library for processing textual data
Machine Learning Models for Sports Remote Coaching Platforms
Full text linkOffering timely support to users in eCoaching systems is a crucial factor to keep them engaged. However, coaches usually follow many users, so it is hard to prioritize those they should interact with first. Timeliness is especially needed when health implications might be the consequence of a lack of support.
Thanks to the data provided by U4FIT (an eCoaching platform for runners we will describe in Chapter 1) and the rise of high-performance computing, Artificial Intelligence can turn such challenges into unparalleled opportunities. One of its sub-fields, namely Machine Learning, enables machines to receive data and learn for themselves without being programmed with rules. Bringing this intelligent support to the coaching domain has many advantages, such as reducing coaches’ workload and fostering sportspeople to keep their exercise routine.
This thesis’s main focus consists of the design, implementation, and evaluation of Machine Learning models in the context of online coaching platforms. On the one hand, our goal is to provide coaches with dashboards that summarize the training behavior of the sportspeople they follow and with a ranked list of the sportspeople according to the support they need to interact with them timely. On the other hand, we want to guarantee a fair exposure in the ranking to ensure that sportspeople of different genres have equal opportunities to get supported. Past research in this field often relied on statistical processes hardly applicable at a large scale.
Our studies explore opportunities and challenges introduced by Machine Learning for the above goals, a relevant and timely topic in literature. Extensive experiments support our work, revealing a clear opportunity to combine human and machine sensing for researchers interested in online coaching. Our findings illustrate the feasibility of designing, assessing, and deploying Machine Learning models for workout quality prediction and sportspeople dropout prevention, in addition to the design and implementation of dashboards providing trainers with actionable knowledge about the sportspeople they follow.
Our results provide guidelines on model motivation, model design, data collection, and analysis techniques concerning the applicable scenarios above. Researchers can use our findings to improve data collection on eCoaching platforms, reduce bias in rankings, increase model effectiveness, and increase the reliability of their models, among others
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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