HATE SPEECH DETECTION OF ARABIC SHORTTEXT

Author :  Abdullah Aref

Affiliation :  University for Technology

Country :  Jordan

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 05, May, 2020

Abstract :

The aim of sentiment analysis is to automatically extract the opinions from a certain text and decide its sentiment. In this paper, we introduce the first publicly-available Twitter dataset on Sunnah and Shia (SSTD), as part of a religious hate speech which is a sub problem of the general hate speech. We, further, provide a detailed review of the data collection process and our annotation guidelines such that a reliable dataset annotation is guaranteed. We employed many stand-alone classification algorithms on the Twitter hate speech dataset, including Random Forest, Complement NB, DecisionTree, and SVM and two deep learning methods CNN and RNN. We further study the influence of word embedding dimensions FastText and word2vec. In all our experiments, all classification algorithms are trained using a random split of data (66% for training and 34% for testing). The two datasets were stratified sampling of the original dataset. The CNN-FastText achieves the highest F-Measure (52.0%) followed by the CNN-Word2vec (49.0%), showing that neural models with FastText word embedding outperform classical feature-based mode.

Keyword :  HateSpeech, Dataset, Text classification, Sentiment analysis.

For More Details :  https://aircconline.com/csit/papers/vol10/csit100507.pdf

LINKING SOCIAL MEDIA POSTS TO NEWS WITH SIAMESE TRANSFORMERS

Author :  Jacob Danovitch

Affiliation :  Carleton University

Country :  Canada

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 05, May, 2020

Abstract :

Many computational social science projects examine online discourse surrounding a specific trending topic. These works often involve the acquisition of large-scale corpora relevant to the event in question to analyze aspects of the response to the event. Keyword searches present a precision-recall trade-off and crowd-sourced annotations, while effective, are costly. This work aims to enable automatic and accurate ad-hoc retrieval of comments discussing a trending topic from a large corpus, using only a handful of seed news articles.

Keyword :  Deep Learning, Natural Language Processing, Information Retrieval, Social Media, News Articles.

For More Details :  https://aircconline.com/csit/papers/vol10/csit100506.pdf

COMMUNICATION BETWEEN COROUTINES ON SUNWAY MANY-CORE PLATFORM

Author :  Shaodi Li

Affiliation :  University of Science and Technology of China, Suzhou

Country :  China

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 05, May, 2020

Abstract :

Communication between parallel programs is an indispensable part of parallel computing. SW26010 is a heterogeneous many-core processor used to build the Sunway TaihuLight supercomputer, which is well suited for parallel computing. Our team is designing and implementing a coroutine scheduling system on SW26010 processor to improve its concurrency, it is very important and necessary to achieve communication between coroutines for the coroutine scheduling system in advance. Therefore, this paper proposes a communication system for data and information exchange between coroutines on SW26010 processor, which contains the following parts. First, we design and implement a producer-consumer mode channel communication based on ring buffer, and designs synchronization mechanism for condition of multi-producer and multi-consumer based on the different atomic operation on the MPE (management processing element) and the CPE (computing processing element) of SW26010. Next, we design a wake-up mechanism between the producer and the consumer, which reduces the waiting of the program for communication. At last, we test and analyse the performance of channel in different numbers of producers and consumers, draw the conclusion that when the number of producers and consumers increases, the channel performance will decrease.

Keyword :  Coroutine, SW26010, Many-core, Parallel Communication, Synchronization

For More Details :  https://aircconline.com/csit/papers/vol10/csit100505.pdf

LEADING DEVOPS PRACTICE AND PRINCIPLE ADOPTION

Author :  Krikor Maroukian

Affiliation :  Microsoft, Kifissias Ave., Athens

Country :  Greece

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 05, May, 2020

Abstract :

This research, undertaken in highly structured software-intensive organizations, outlines challenges associated to agile, lean and DevOps practices and principles adoption. The approach collected data via a series of thirty (30) interviews, with practitioners from the EMEA region (Czech Republic, Estonia, Italy, Georgia, Greece, The Netherlands, Saudi Arabia, South Africa, UAE, UK), working in nine (9) different industry domains and ten (10) different countries. A set of agile, lean and DevOps practices and principles, which organizations choose to include in their DevOps adoption journeys were identified. The most frequently adopted structured service management practices, contributing to DevOps practice adoption success, indicate that those with software development and operation roles in DevOps-oriented organizations benefit from existence of highly structured service management approaches such as ITIL®.

Keyword :  Agile, Lean, Practices and Principles, DevOps Leadership, IT service management

For More Details :  https://aircconline.com/csit/papers/vol10/csit100504.pdf

TRANSCRIPT LEVEL ANALYSIS IMPROVES THE UNDERSTANDING OF BLADDER CANCER

Author :  Xiang Ao

Affiliation :  City University of Hong Kong

Country :  Hong Kong

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 05, May, 2020

Abstract :

Bladder cancer (BC) is one of the most globally prevalent diseases, attracting various studies on BC relevant topics. High-throughput sequencing renders it convenient to extensively explore genetic changes, like the variation in gene expression, in the development of BC. In this study, we did differential analysis on gene and transcript expression (DGE and DTE) and differential transcript usage (DTU) analysis in an RNA-seq dataset of 42 bladder cancer patients. DGE analysis reported 8543 significantly differentially expressed (DE) genes. In contrast, DTE analysis detected 14350 significantly DE transcripts from 8371 genes, and DTU analysis detected 27914 significantly differentially used (DU) transcripts from 8072 genes. Analysis of the top 5 DE genes demonstrated that DTE and DTU analysis provided the source of changes in gene expression at the transcript level. The transcript-level analysis also identified some DE and DU transcripts from previously reported mutated genes that related to BC, like ERBB2, ESPL1, and STAG2, suggesting an intrinsic connection between gene mutation and alternative splicing. Hence, the transcript-level analysis may help disclose the underlying pathological mechanism of BC and further guide the design of personal treatment.

Keyword :  Bladder Cancer, Differential Gene Expression, Differential Transcript Expression, Differential Transcript Usage

For More Details :  https://aircconline.com/csit/papers/vol10/csit100503.pdf

 

CONTEXTUAL FACTORS INFLUENCING THE DESIGN AND MANAGEMENT OF HEALTH INFORMATION SYSTEMS’ NTEROPERABILITY

Author :  Grace Kobusinge

Affiliation :  Gothenburg University

Country :  Sweden

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 05, May, 2020

Abstract :

Due to their renowned great information processing and dissemination power, Health information systems (HIS) can readily avail past patient medical information across the continuum of care in order to facilitate ongoing treatment. However, a number of existing HIS are designed as vertical silos with no interoperability onuses and therefore, cannot exchange patient information. At the same time, there is limited knowledge about the intricacies and factors that surround HIS’ interoperability implementations. This study therefore, employs an institutional lens perspective to investigate contextual factors influencing HIS’ interoperability designing. Through this perspective, seven contextual factors were arrived at institutional autonomism, intended system goals, existing health-information-systems, national HIS implementation guidelines, interoperability standards, policy and resources in terms of money and labour. A further study implication is the use of institutional lens in making sense of the institutions’ context of integration in order to discover salient factors that might influence health-information-systems’ interoperability designing.

Keyword :  Health Information Systems’ Interoperability, Design and Management, Contextual Factors.

For More Details :  https://aircconline.com/csit/papers/vol10/csit100502.pdf

IDENTIFICATION OF TECHNOLOGYRELEVANT ENTITIES BASED ON TREND CURVES

Author :  Sukhwan Jung

Affiliation :  University of South Alabama

Country :  USA

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 05, May, 2020

Abstract :

Technological developments are not isolated and are influenced not only by similar technologies but also by many entities, which are sometimes unforeseen by the experts in the field. The authors propose a method for identifying technology-relevant entities with trend curve analysis. The method first utilizes the tangential connection between terms in the encyclopedic dataset to extract technology-related entities with varying relation distances. Changes in their term frequencies within 389 million academic articles and 60 billion web pages are then analyzed to identify technology-relevant entities, incorporating the degrees and changes in both academic interests and public recognitions. The analysis is performed to find entities both significant and relevant to the technology of interest, resulting in the discovery of 40 and 39 technology-relevant entities, respectively, for unmanned aerial vehicle and hyperspectral imaging with 0.875 and 0.5385 accuracies. The case study showed the proposed method can capture hidden relationships between semantically distant entities.

Keyword :  Technology Forecasting, Trend Curve, Big Data, Academic Articles, Web Pages

For More Details :  https://aircconline.com/csit/papers/vol10/csit100501.pdf