scholarly journals Graph node rank based important keyword detection from Twitter

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mukesh Kumar ◽  
Palak Rehan
Keyword(s):  
Real Time ◽  
English Language ◽  
Hybrid Approach ◽  
Levenshtein Distance ◽  
Social Media Networks ◽  
The Social ◽  
Keyword Detection ◽  
Product Launches ◽  
Process Detection ◽  
Good Resource

Social media networks like Twitter, Facebook, WhatsApp etc. are most commonly used medium for sharing news, opinions and to stay in touch with peers. Messages on twitter are limited to 140 characters. This led users to create their own novel syntax in tweets to express more in lesser words. Free writing style, use of URLs, markup syntax, inappropriate punctuations, ungrammatical structures, abbreviations etc. makes it harder to mine useful information from them. For each tweet, we can get an explicit time stamp, the name of the user, the social network the user belongs to, or even the GPS coordinates if the tweet is created with a GPS-enabled mobile device. With these features, Twitter is, in nature, a good resource for detecting and analyzing the real time events happening around the world. By using the speed and coverage of Twitter, we can detect events, a sequence of important keywords being talked, in a timely manner which can be used in different applications like natural calamity relief support, earthquake relief support, product launches, suspicious activity detection etc. The keyword detection process from Twitter can be seen as a two step process: detection of keyword in the raw text form (words as posted by the users) and keyword normalization process (reforming the users’ unstructured words in the complete meaningful English language words). In this paper a keyword detection technique based upon the graph, spanning tree and Page Rank algorithm is proposed. A text normalization technique based upon hybrid approach using Levenshtein distance, demetaphone algorithm and dictionary mapping is proposed to work upon the unstructured keywords as produced by the proposed keyword detector. The proposed normalization technique is validated using the standard lexnorm 1.2 dataset. The proposed system is used to detect the keywords from Twiter text being posted at real time. The detected and normalized keywords are further validated from the search engine results at later time for detection of events.

Exploring Foreign Language Communication Apprehension among the English Language University Students in the English Language Classroom Setting

2018 ◽  
Vol 5 (2) ◽  
pp. 27-39
Author(s):  
Draženka Molnar ◽  
Gabrijela Crnjak
Keyword(s):  
Foreign Language ◽  
English Language ◽  
Communication Apprehension ◽  
Theoretical Background ◽  
General View ◽  
Total Level ◽  
Foreign Language Acquisition ◽  
The Social ◽  
Language Classroom ◽  
Language Communication

Abstract Over the past few decades the interest in communication apprehension has increased among researchers and teachers in the field of second/foreign language acquisition (SLA/FLA).The present paper is set between the macro perspective of the social-psychological period - by giving a general view of communication apprehension (CA) - and the situation-specific period - by taking into consideration the immediate educational context.The paper focuses on the phenomenon of communication apprehension among the Croatian university level students in a foreign language classroom setting.In particular, it investigates if there is a difference in the total level of communication apprehension between undergraduate and graduate students of English Language and Literature.Furthermore, it explores whether there is a relationship between different aspects of communication apprehension and the total level of communication apprehension and which background factor is the best predictor of communication apprehension among the students.The first part of the paper brings a theoretical background of the main concepts in this research, whereas the second part of the paper reports on the research itself.Two sets of instruments, questionnaires completed by the students and in-depth interviews conducted among the teachers, were used for the purpose of this study.The results show that the year of study is not a significant predictor of the communication apprehension level which students experience.Among all variables included in the analysis, the only significant predictors of communication apprehension are evaluations.

THE USE OF THE TRANSLATION METHOD IN MASTERING THE TERMS

2019 ◽  
pp. 87-95
Keyword(s):  
International Relations ◽  
English Language ◽  
Structural Features ◽  
Point Of View ◽  
General Classification ◽  
Optimal Methods ◽  
Foreign Companies ◽  
The Social ◽  
Problems Of Translation

The article is devoted to the role of Tourism terminology in linguistics and the issue of general classification, peculiarities in the expression and translation of terms related to tourism in English into Uzbek and Russian, as well as the choice of the most optimal methods for translating terms in accordance with the requirements of this professional sphere. The terminology of the English language tourism is distinguished by its brightness, versatility. Tourism terms are formed under the influence of a generalized lexical layer of language and perform a specific functional function.Tourism terms are formed through the affixation method (prefixation, suffixation, circumphixation) and get rich through the process.The terminology of English Tourism is distinguished by its content and structural features, forming a part of the language vocabulary from the linguistic point of view. Texts in the field of Tourism take into their composition concepts of Tourism and interpret them in their content. They will be mainly in the form of advertising, as well as enlighten information about a particular region or place, create informational precedents and ensure their manifestation in the social cultural presence. The relevance of the study of the problems of translation of terms in the field of tourism has been investigated, mainly due to the development of international relations, expansion of cooperation between local and foreign companies, as well as the increase in this area of communication.

Realism 2.0

2019 ◽  
pp. 663-679
Author(s):  
Augusta Rohrbach
Keyword(s):  
Web 2.0 ◽  
Knowledge Sharing ◽  
Real Time ◽  
Social Reform ◽  
Data Modeling ◽  
Political Consciousness ◽  
Web 2.0 Technologies ◽  
Reform Agenda ◽  
Social Purpose ◽  
The Social

This chapter looks to the future of teaching realism with Web 2.0 technologies. After discussing the ways in which technologies of data modeling can reveal patterns for interpretation, the chapter examines how these technologies can update the social-reform agenda of realism as exemplified by William Dean Howells’s attempted intervention into the Haymarket Riot in 1886. The advent of Web 2.0 techologies offers students a way to harness the genre’s sense of social purpose to knowledge-sharing mechanisms to create a vehicle for political consciousness-raising in real time. The result is “Realism 2.0,” a realism that enables readers to engage in their world, which is less text-centric than it was for previous writers.

Use of real-time videoconferencing to deliver physical therapy services: A scoping review of published and emerging evidence

2019 ◽  
Vol 26 (10) ◽  
pp. 581-589 ◽  
Author(s):  
Stephanie Horsley ◽  
Gunnar Schock ◽  
Stacey L Grona ◽  
Kara Montieth ◽  
Bryttnee Mowat ◽  
...  
Keyword(s):  
Physical Therapy ◽  
Real Time ◽  
English Language ◽  
Data Extraction ◽  
Therapy Assessment ◽  
Process Outcomes ◽  
Study Characteristics ◽  
Therapy Services ◽  
Videoconferencing Technology ◽  
Physical Therapy Services

Introduction Telehealth may be a viable means to deliver physical therapy services across a range of practice settings and health conditions; however, there is limited uptake of telehealth in clinical practice. The purpose of this study is to examine and describe trends, gaps and opportunities in published and emerging evidence regarding the use of real-time videoconferencing to deliver physical therapy services. Methods Four databases and three trial registries were searched using terms for physical therapy and telehealth. Inclusion criteria were primary studies, systematic reviews and published trial registries that had the following features: physical therapy assessment and/or treatment, real-time videoconferencing and English language. Title/abstract, full text screening and data extraction were completed by pairs of independent reviewers. Descriptive statistics stratified by published research and trial registry records were used to summarize study characteristics. Results A total of 100 studies (80 published and 20 trial registries) were included. Australia, Canada and the US have the highest proportion of published and emerging research (63%). The majority of conditions studied were musculoskeletal (42%). Computers were the most common videoconferencing technology used (31%) and only 14% of studies reported using a secure platform. The majority of studies examined health outcomes (64%) and process outcomes (65%), while only 32% reported system outcomes. Discussion Research in the field of telehealth and physical therapy is growing and becoming increasingly diverse with the advancements in technology.

Hybrid Approach and Architecture to Detect Fake News on Twitter in Real-Time using Neural Networks

2020 ◽  
Author(s):  
Madusha Prasanjith Thilakarathna ◽  
Vihanga Ashinsana Wijayasekara ◽  
Yasiru Gamage ◽  
Kavindi Hanshani Peiris ◽  
Chanuka Abeysinghe ◽  
...  
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Hybrid Approach ◽  
Fake News

scholarly journals A Hybrid Approach for Digital Representation of Sensors in Real-Time Applications

2020 ◽  
Vol 52 ◽  
pp. 14-19
Author(s):  
Karthik Shenoy Panambur ◽  
Shantanoo Desai ◽  
Amit Kumar Singh ◽  
Klaus-Dieter Thoben
Keyword(s):  
Real Time ◽  
Hybrid Approach ◽  
Digital Representation ◽  
Real Time Applications

Method for automatic key concepts extraction

2019 ◽  
Vol 37 (1) ◽  
pp. 2-15 ◽  
Author(s):  
Sudarsana Desul ◽  
Madurai Meenachi N. ◽  
Thejas Venkatesh ◽  
Vijitha Gunta ◽  
Gowtham R. ◽  
...  
Keyword(s):  
Coming Out ◽  
English Language ◽  
Hybrid Approach ◽  
Ontology Learning ◽  
Specific Domain ◽  
Content Type ◽  
Concept Extraction ◽  
Nuclear Domain ◽  
Wide Range ◽  
Key Concepts

PurposeOntology of a domain mainly consists of a set of concepts and their semantic relations. It is typically constructed and maintained by using ontology editors with substantial human intervention. It is desirable to perform the task automatically, which has led to the development of ontology learning techniques. One of the main challenges of ontology learning from the text is to identify key concepts from the documents. A wide range of techniques for key concept extraction have been proposed but are having the limitations of low accuracy, poor performance, not so flexible and applicability to a specific domain. The propose of this study is to explore a new method to extract key concepts and to apply them to literature in the nuclear domain.Design/methodology/approachIn this article, a novel method for key concept extraction is proposed and applied to the documents from the nuclear domain. A hybrid approach was used, which includes a combination of domain, syntactic name entity knowledge and statistical based methods. The performance of the developed method has been evaluated from the data obtained using two out of three voting logic from three domain experts by using 120 documents retrieved from SCOPUS database.FindingsThe work reported pertains to extracting concepts from the set of selected documents and aids the search for documents relating to given concepts. The results of a case study indicated that the method developed has demonstrated better metrics than Text2Onto and CFinder. The method described has the capability of extracting valid key concepts from a set of candidates with long phrases.Research limitations/implicationsThe present study is restricted to literature coming out in the English language and applied to the documents from nuclear domain. It has the potential to extend to other domains also.Practical implicationsThe work carried out in the current study has the potential of leading to updating International Nuclear Information System thesaurus for ontology in the nuclear domain. This can lead to efficient search methods.Originality/valueThis work is the first attempt to automatically extract key concepts from the nuclear documents. The proposed approach will address and fix the most of the problems that are existed in the current methods and thereby increase the performance.

Invisible Bodies

2018 ◽  
Vol 13 (1-2) ◽  
pp. 33-68
Author(s):  
Lan A. Li
Keyword(s):  
Twentieth Century ◽  
Chinese Medicine ◽  
History Of Medicine ◽  
Intellectual History ◽  
English Language ◽  
Social Hierarchies ◽  
Material Characteristics ◽  
The Social ◽  
Close Study ◽  
History Of

AbstractThis essay explores the ways in which Lu Gwei-djen (1904–91) served as a gatekeeper for interpreting medicine in China in the second half of the twentieth century. After retiring from science in 1956, Lu set out to write one of the first comprehensive English-language histories of medicine in China. Through a close study of Lu’s work notes and marginalia from later in her life, this essay examines how she carefully articulated the material characteristics of a “Chinese” medicine that gave rise to jingluo, or therapeutic paths often known as “meridians.” I argue that at the heart of this uneasy comparison was the difficult process of translating across multiple expressions of physiology. By placing Lu Gwei-djen at the center of a feminist intellectual history of medicine, this essay further shows how Lu’s translations were influenced by the social hierarchies in which she was embedded, including cultural, gender, and temporal dualities.

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