scholarly journals Sentiment Analysis of Suicide Notes: A Shared Task

2012 ◽  
Vol 5s1 ◽  
pp. BII.S9042 ◽  
Author(s):  
John P. Pestian ◽  
Pawel Matykiewicz ◽  
Michelle Linn-Gust ◽  
Brett South ◽  
Ozlem Uzuner ◽  
...  
Keyword(s):  
Preliminary Analysis ◽  
The Other ◽  
Future Research ◽  
Large Set ◽  
Biomedical Domain ◽  
Shared Task ◽  
Clinical Text ◽  
Evaluation Measures ◽  
Suicide Notes ◽  
Data Production

This paper reports on a shared task involving the assignment of emotions to suicide notes. Two features distinguished this task from previous shared tasks in the biomedical domain. One is that it resulted in the corpus of fully anonymized clinical text and annotated suicide notes. This resource is permanently available and will (we hope) facilitate future research. The other key feature of the task is that it required categorization with respect to a large set of labels. The number of participants was larger than in any previous biomedical challenge task. We describe the data production process and the evaluation measures, and give a preliminary analysis of the results. Many systems performed at levels approaching the inter-coder agreement, suggesting that human-like performance on this task is within the reach of currently available technologies.

A new algorithm for finding CRM-model coefficients

2019 ◽  
Vol 5 (3) ◽  
pp. 164-185 ◽  
Author(s):  
Alexander D. Bekman ◽  
Sergey V. Stepanov ◽  
Alexander A. Ruchkin ◽  
Dmitry V. Zelenin
Keyword(s):  
Approximate Solution ◽  
Optimization Problem ◽  
Optimal Solution ◽  
Complex Form ◽  
Approximate Solutions ◽  
The Other ◽  
Programming Algorithm ◽  
Stochastic Algorithms ◽  
Large Set ◽  
Flow Rates

The quantitative evaluation of producer and injector well interference based on well operation data (profiles of flow rates/injectivities and bottomhole/reservoir pressures) with the help of CRM (Capacitance-Resistive Models) is an optimization problem with large set of variables and constraints. The analytical solution cannot be found because of the complex form of the objective function for this problem. Attempts to find the solution with stochastic algorithms take unacceptable time and the result may be far from the optimal solution. Besides, the use of universal (commercial) optimizers hides the details of step by step solution from the user, for example&nbsp;— the ambiguity of the solution as the result of data inaccuracy.<br> The present article concerns two variants of CRM problem. The authors present a new algorithm of solving the problems with the help of “General Quadratic Programming Algorithm”. The main advantage of the new algorithm is the greater performance in comparison with the other known algorithms. Its other advantage is the possibility of an ambiguity analysis. This article studies the conditions which guarantee that the first variant of problem has a unique solution, which can be found with the presented algorithm. Another algorithm for finding the approximate solution for the second variant of the problem is also considered. The method of visualization of approximate solutions set is presented. The results of experiments comparing the new algorithm with some previously known are given.

scholarly journals EXPRESS: When Two Actors Perform Different Tasks: Still No Evidence for Shared Task-Sets in Joint Task Switching

2021 ◽  
pp. 174702182110315
Author(s):  
Motonori Yamaguchi ◽  
Husnain H. Shah ◽  
Bernhard Hommel
Keyword(s):  
Task Switching ◽  
The Other ◽  
Shared Task ◽  
Joint Condition ◽  
Task Instructions ◽  
Switch Costs ◽  
Joint Task ◽  
Task Sets ◽  
Rule Out

Two different variations of joint task switching led to different conclusions as to whether co-acting individuals share the same task-sets. The present study aimed at bridging this gap by replicating the version in which two actors performed two different tasks. Experiment 1 showed switch costs across two actors in a joint condition, which agreed with previous studies, but also yielded even larger switch costs in a solo condition, which contradicted the claim that actors represent an alternative task as their own when it is carried out by the co-actor but not when no one carries it out. Experiments 2 and 3 further examined switch costs in the solo condition with the aim to rule out possible influences of task instructions for and experiences with the other task that was not assigned to the actor. Before participants were instructed on the second of the two tasks, switch costs were still obtained without a co-actor when explicit task names (“COLOUR” and “SHAPE”) served as go/nogo signals (Experiment 2), but not when arbitrary symbols (“XXXX” and “​​​​”) served as go/nogo signals (Experiment 3). The results thus imply that switch costs depend on participants’ knowledge of task cues being assigned to two different tasks, but not on whether the other task is performed by a co-actor. These findings undermine the assumption that switch costs in the joint conditions reflect shared task-sets between co-actors in this procedure.

Children With Intellectual Disability and Victimization: A Logistic Regression Analysis

2021 ◽  
pp. 107755952199417
Author(s):  
Katherine R. Brendli ◽  
Michael D. Broda ◽  
Ruth Brown
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Intellectual Disability ◽  
Logistic Regression Analysis ◽  
District Of Columbia ◽  
The Other ◽  
Future Research ◽  
Common Assumption ◽  
Research And Practice ◽  
Demographic Correlates

It is a common assumption that children with disabilities are more likely to experience victimization than their peers without disabilities. However, there is a paucity of robust research supporting this assumption in the current literature. In response to this need, we conducted a logistic regression analysis using a national dataset of responses from 26,572 parents/caregivers to children with and without disabilities across all 50 states, plus the District of Columbia. The purpose of our study was to acquire a greater understanding of the odds of victimization among children with and without intellectual disability (ID), while controlling for several child and parent/adult demographic correlates. Most notably, our study revealed that children with ID have 2.84 times greater odds of experiencing victimization than children without disabilities, after adjusting for the other predictors in the model. Implications for future research and practice are discussed.

scholarly journals A taxonomy of antonymy in Arabic: Egyptian and Saudi proverbs in comparison

2021 ◽  
Vol 7 (1) ◽  
pp. 200-222
Author(s):  
Hamada Hassanein ◽  
Mohammad Mahzari
Keyword(s):  
Main Clause ◽  
The Other ◽  
Subordinate Clause ◽  
Future Research ◽  
Case Marking ◽  
News Discourse ◽  
Discourse Functions ◽  
Syntactic Frames

Abstract This study has set out to identify, quantify, typify, and exemplify the discourse functions of canonical antonymy in Arabic paremiography by comparing two manually collected datasets from Egyptian and Saudi (Najdi) dialects. Building upon Jones’s (2002) most extensive and often-cited classification of the discourse functions of antonyms as they co-occur within syntactic frames in news discourse, the study has substantially revised this classification and developed a provisional and dynamic typology thereof. Two major textual functions are found to be quantitatively significant and qualitatively preponderant: ancillarity (wherein an A-pair of canonical antonyms project their antonymicity onto a more important B-pair) and coordination (wherein one antonym holds an inclusive or exhaustive relation to another antonym). Three new functions have been developed and added to the retrieved classification: subordination (wherein one antonym occurs in a subordinate clause while the other occurs in a main clause), case-marking (wherein two opposite cases are served by two antonyms), and replacement (wherein one antonym is substituted with another). Semicanonical and noncanonical guises of antonymy are left and recommended for future research.

scholarly journals Statistical and Similarity Methods for Classifying Emotion in Suicide Notes

2012 ◽  
Vol 5s1 ◽  
pp. BII.S8958 ◽  
Author(s):  
Kirk Roberts ◽  
Sanda M. Harabagiu
Keyword(s):  
Sentiment Analysis ◽  
Similarity Measures ◽  
Classification Problem ◽  
Shared Task ◽  
Suicide Notes ◽  
F Measure

In this paper we report on the approaches that we developed for the 2011 i2b2 Shared Task on Sentiment Analysis of Suicide Notes. We have cast the problem of detecting emotions in suicide notes as a supervised multi-label classification problem. Our classifiers use a variety of features based on (a) lexical indicators, (b) topic scores, and (c) similarity measures. Our best submission has a precision of 0.551, a recall of 0.485, and a F-measure of 0.516.

Dirty Work and Dirtier Work: Differences in Countering Physical, Social, and Moral Stigma

2014 ◽  
Vol 10 (1) ◽  
pp. 81-108 ◽  
Author(s):  
Blake E. Ashforth ◽  
Glen E. Kreiner
Keyword(s):  
Distinct Group ◽  
The Other ◽  
Future Research ◽  
Identity Threat ◽  
Dirty Work ◽  
Exotic Dancers ◽  
Organization Level ◽  
Group A

The literature on dirty work has focused on what physically (e.g., garbage collectors), socially (e.g., addiction counsellors), and morally (e.g., exotic dancers) stigmatized occupations have in common, implying that dirty work is a relatively monolithic construct. In this article, we focus on thedifferencesbetween these three forms of dirty work and how occupational members collectively attempt to counter the particular stigma associated with each. We argue that the largest differences are between moral dirty work and the other two forms; if physical and social dirty work tend to be seen as more necessary than evil, then moral dirty work tends to be seen as more evil than necessary. Moral dirty work typically constitutes a graver identity threat to occupational members, fostering greater entitativity (a sense of being a distinct group), a greater reliance on members as social buffers, and a greater use of condemning condemners and organization-level defensive tactics. We develop a series of propositions to formalize our arguments and suggest how this more nuanced approach to studying dirty work can stimulate and inform future research.

A new species of the enigmatic genus Oressinoma Doubleday from the Andes of central Peru (Lepidoptera: Nymphalidae, Satyrinae)

Zootaxa ◽  
2021 ◽  
Vol 4999 (2) ◽  
Author(s):  
KLAUDIA FLORCZYK ◽  
CHRISTER FÅHRAEUS ◽  
PIERRE BOYER ◽  
ANNA ZUBEK ◽  
TOMASZ W. PYRCZ
Keyword(s):  
New Species ◽  
Male Genitalia ◽  
Preliminary Analysis ◽  
The Other ◽  
Genital Morphology ◽  
The Third ◽  
The Andes ◽  
A New Species

A new, and only the third known species of the Neotropical montane genus Oressinoma Doubleday is described—O. sorina n. sp., from the Andes of central Peru. It is distinguishable immediately from the other two congeners by the shape of the hindwing underside submarginal orange band, and by the male genitalia. The systematics of Oressinoma are reviewed. A preliminary analysis is carried out based on COI barcode confirming the separate specific status of O. sorina n. sp. in relation to other two congeners. Both barcode and genital morphology data suggest that the widespread O. typhla Doubleday may be a complex of allopatric or, locally parapatric species. The genus Oressinoma is the only neotropical member of the predominantly Australian subtribe Coenonymphina, represented in the entire Holarctic by one genus only—Coenonympha Hübner, considered as the putative sister-genus of Oressinoma. Their origins and relationships are briefly discussed.

Introduction and Preliminary Investigation of Buoyancy Assisted Robots That Are Cheap, Safe, and Will Never Fall Down

2021 ◽  
Author(s):  
Matthew David Williams ◽  
Dennis Hong
Keyword(s):  
Genetic Algorithm ◽  
Preliminary Analysis ◽  
Preliminary Investigation ◽  
Research Work ◽  
Legged Robots ◽  
Dynamical Analysis ◽  
Future Research ◽  
The Novel ◽  
Drag Forces ◽  
New Family

Abstract We introduce and define a new family of mobile robots called BAR (Buoyancy Assisted Robots) that are cheap, safe, and will never fall down. BARs utilize buoyancy from lighter-than-air gases as a way to support the weight of the robot for locomotion. A new BAR robot named BLAIR (Buoyant Legged Actuated Inverted Robot) whose buoyancy is greater than its weight is also presented in this paper. BLAIRs can walk “upside-down” on the ceiling, providing unique advantages that no other robot platforms can. Unlike other legged robots, the mechanics of how BARs walk is fundamentally different. We also perform a preliminary investigation for BARs. This includes comparing safety, cost, and energy consumption with other commercially available robots. Additionally, the preliminary investigation also includes analyzing previous works relating to BARs. A dynamical analysis is performed on the novel robot BLAIR. This is presented to show the impacts of buoyant and drag forces on BLAIRs. Preliminary analysis with the prevalence of drag is presented with simulations using a genetic algorithm and simulations. Results show that BARs with different mechanisms prefer different styles of walking gaits such as prancing or skipping. This work lays the foundation for future research work on the gaits for BARs.

scholarly journals Corporate Social Responsibility Performance & ETF Historical Market Volatility

2017 ◽  
Vol 9 (10) ◽  
pp. 30
Author(s):  
Vasiliki A. Basdekidou ◽  
Artemis A. Styliadou
Keyword(s):  
Corporate Governance ◽  
Community Development ◽  
Fair Trade ◽  
Green Building ◽  
Market Volatility ◽  
The Other ◽  
Future Research ◽  
Financial Instruments ◽  
Corporate Social ◽  
Number Of Firms

In investment and trading, different CSR moral ethical firms, categorized in a number of groups, may be suitable for different financial instruments (i.e. USA sector ETFs) and different market volatility situations. For the purpose of this article we first (i) analyze the trading return performance of four CSR categories (in particular: activism, community development, corporate governance, and environment); and then (ii) examine and comment the correlation between the market performance of a number of firms belonging in these four CSR categories and historical ETF market volatility. Finally, we (iii) suggest CSR firms as trading tools according to dominant market volatility. Other CSR categories (like: fair trade & supply chain, green building, philanthropy & corporate contributions, etc.) would be examined in future research by following the introduced by this paper approach. Paper concludes that, in relatively less volatile markets the Environment CSR ethical firms display better results. On the other hand, in strong market volatile situations it is better to trade Community Development CSR and Corporate Governance CSR ethical firms. Finally, the Activism CSR ethical firms are uncorrelated with the market volatility, as well as their performance is poor in all market cases.

scholarly journals KLASIFIKASI TEKS SOSIAL MEDIA TWITTER MENGGUNAKAN SUPPORT VECTOR MACHINE (Studi Kasus Penusukan Wiranto)

2019 ◽  
Vol 2 (2) ◽  
pp. 43
Author(s):  
Lalu Mutawalli ◽  
Mohammad Taufan Asri Zaen ◽  
Wire Bagye
Keyword(s):  
Social Media ◽  
Support Vector Machine ◽  
Big Data ◽  
Mass Communication ◽  
Confusion Matrix ◽  
Classification Model ◽  
Support Vector ◽  
Large Set ◽  
Appearance Time ◽  
Data Production

In the era of technological disruption of mass communication, social media became a reference in absorbing public opinion. The digitalization of data is very rapidly produced by social media users because it is an attempt to represent the feelings of the audience. Data production in question is the user posts the status and comments on social media. Data production by the public in social media raises a very large set of data or can be referred to as big data. Big data is a collection of data sets in very large numbers, complex, has a relatively fast appearance time, so that makes it difficult to handle. Analysis of big data with data mining methods to get knowledge patterns in it. This study analyzes the sentiments of netizens on Twitter social media on Mr. Wiranto stabbing case. The results of the sentiment analysis showed 41% gave positive comments, 29% commented neutrally, and 29% commented negatively on events. Besides, modeling of the data is carried out using a support vector machine algorithm to create a system capable of classifying positive, neutral, and negative connotations. The classification model that has been made is then tested using the confusion matrix technique with each result is a precision value of 83%, a recall value of 80%, and finally, as much as 80% obtained in testing the accuracy.

Sign in / Sign up

Export Citation Format

Share Document