scholarly journals Dependency profiles as a tool for big data analysis of linguistic constructions: a case study of emoticons

2017 ◽  
Vol 8 (2) ◽  
pp. 127-153
Author(s):  
Veronika Laippala ◽  
Aki-Juhani Kyröläinen ◽  
Jenna Kanerva ◽  
Juhani Luotolahti ◽  
Filip Ginter
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Computer Mediated Communication ◽  
Big Data Analysis ◽  
Support Vector ◽  
Mediated Communication ◽  
Computer Mediated ◽  
Usage Patterns ◽  
Narrative Constructions

This study presents a methodological toolbox for big data analysis of linguistic constructions by introducing dependency profiles, i.e., co-occurrences of linguistic elements with syntax information. These were operationalized by reconstructing sentences as delexicalized syntactic biarcs, subtrees of dependency analyses. As a case study, we utilize these dependency profiles to explore usage patterns associated with emoticons, the graphic representations of facial expressions. These are said to be characteristic of Computer-Mediated Communication, but typically studied only in restricted corpora. To analyze the 3.7-billion token Finnish Internet Parsebank we use as data, we apply clustering and support vector machines. The results show that emoticons are associated with three typical usage patterns: stream of the writer’s consciousness, narrative constructions and elements guiding the interaction and expressing the writer’s reactions by means of interjections and discourse particles. Additionally, the more frequent emoticons, such as :), are used differently than the less frequent ones, such as ^_^.Kokkuvõte. Veronika Laippala, Aki-Juhani Kyröläinen, Jenna Kanerva, Juhani Luotolahti ja Filip Ginter: Sõltuvusprofiilid kui vahend suurandmete keeleliste konstruktsioonide analüüsimiseks: uurimus emotikonidest. Uurimuses esitame metodoloogilise “tööriistakomplekti” keelekonstruktsioonide analüüsimiseks suurandmete põhjal, rakendades sõltuvusprofiile. Sõltuvusprofiil on lingvistiliste elementide koosesinemise esitusviis, kuhu on kaasatud süntaktiline informatsioon. Selleks on laused konstrueeritud sõltuvusanalüüsi alampuudena, kus süntaktiline info on esitatud sõnadevaheliste (kaksik-)kaarte abil. Artiklis rakendame sõltuvusprofiile selleks, et selgitada välja emotikonide kasutusmustrid. Näomiimika graafilised esitused on iseloomulikud arvuti suhtlusele, mida tavaliselt uuritakse piiratud korpuse põhjal, kuid meie kasutame klasterdamist ja tugivektor-masinaid 3,7 miljardi sõna suuruse Soome Interneti Puudepangal. Selgub, et emotikonide kasutus seostub kolme peamise kasutusmustriga: kirjutaja teadvuse vooluga, narratiivsete konstruktsioonidega ning hüüdsõnade ja diskursusepartiklitega, mis juhivad suhtlust ja väljendavad kirjutaja reaktsioone. Lisaks selgub, et sagedastel emotikonidel nagu :), on rohkem erinevaid kasutusi kui harvadel emotikonidel nagu ^_^.Võtmesõnad: sõltuvusprofiilid; kasutuspõhine süntaks; arvutisuhtlus; emotikonid; veebikorpus; soome keel

scholarly journals New Media Technology in Developing Effective Organizational Internal Communication

Humaniora ◽  
2017 ◽  
Vol 8 (1) ◽  
pp. 21
Author(s):  
Nur Kholisoh ◽  
Ria Sulastri
Keyword(s):  
New Media ◽  
Computer Mediated Communication ◽  
Research Result ◽  
Internal Communication ◽  
Communication Pattern ◽  
Media Technology ◽  
Mediated Communication ◽  
Media Communication ◽  
Computer Mediated

The article was intended to investigate various benefits of Whatsapp Messenger application for an effective intenal communication in PT Euro Management Indonesia. In addition, this research also aimed to map the organizational internal communication pattern through the use of Whatsapp Messenger application. The research used theories of organizaional communication, new media communication pattern, and computer mediated communication (CMC). Moreover, paradigm used in the research was constructivist with qualitative approach and the research method was case study. The research result finds that the use of new media Whatsapp Messenger as a tool of communication can build effective internal communication in PT Euro Management Indonesia. Moreover, it also shows that the internal organizational communication pattern in PT Euro Management Indonesia used in Whatsapp Messenger application is conversation pattern.

Backchannels in video-mediated ELF conversations: a case study

2021 ◽  
Vol 10 (1) ◽  
pp. 113-140
Author(s):  
Francisco Javier Fernández Polo
Keyword(s):  
Computer Mediated Communication ◽  
Male Student ◽  
Mediated Communication ◽  
Lingua Franca ◽  
General Impression ◽  
Computer Mediated ◽  
Marked Preference ◽  
Opening And Closing ◽  
Intrinsic Feature

Abstract There are few studies on backchannels in ELF and none concerns computer-mediated conversations. Backchannelling has been associated with good listenership and enhanced cooperativeness, an intrinsic feature of ELF. They would also play a key role in computer-mediated communication, maintaining a sense of affective equilibrium among participants and compensating for medium-related limitations. We analyze backchanneling in an ELF conversation between a Spanish female and a German male student from the Corpus of Video-Mediated English as a Lingua Franca Conversations (ViMELF). Backchanneling seems to be particularly intense in the opening and closing sections of the exchange, where interpersonal work is the most needed. While significant idiolectal differences are observed between the two participants, both show a marked preference for and a tendency to concentrate realizations on a few weak backchanneling forms, conferring the exchange a general impression of monotony and emotional flatness. Some backchanneling features in the exchange may be described as typical of ELF: backchannels tend to occur in moments when speakers sense that understanding may be compromised and are frequently complemented by supportive material reinforcing the speaker’s point. The analysis also reveals some characteristic awkward usage, with tokens which are clearly “overdone,” while others are too weak and disappointing or behave disruptively by occurring in unexpected positions and interrupting the flow of the conversation. Research on ELF video conversations is particularly timely given the recent surge in videoconferencing propitiated by the COVID pandemic, a tendency which is likely to stay in post-pandemic times.

Data Science and Big Data Analytics in Financial Services

Web Services ◽  
2019 ◽  
pp. 1301-1329
Author(s):  
Suren Behari ◽  
Aileen Cater-Steel ◽  
Jeffrey Soar
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Financial Services ◽  
Data Science ◽  
Big Data Analytics ◽  
Disruptive Innovation ◽  
Big Data Analysis ◽  
Future Trends ◽  
The Right

The chapter discusses how Financial Services organizations can take advantage of Big Data analysis for disruptive innovation through examination of a case study in the financial services industry. Popular tools for Big Data Analysis are discussed and the challenges of big data are explored as well as how these challenges can be met. The work of Hayes-Roth in Valued Information at the Right Time (VIRT) and how it applies to the case study is examined. Boyd's model of Observe, Orient, Decide, and Act (OODA) is explained in relation to disruptive innovation in financial services. Future trends in big data analysis in the financial services domain are explored.

Interactive Online Learning

2018 ◽  
pp. 1692-1709
Author(s):  
Rauno Rusko
Keyword(s):  
Educational Technology ◽  
Content Analysis ◽  
Student Voice ◽  
Computer Mediated Communication ◽  
Communication Channels ◽  
Technology In Education ◽  
Mediated Communication ◽  
Computer Mediated ◽  
Dual Channels

This study is focused on the implications of the student voice in digital-based entrepreneurship education basing on the case study example from university-level schooling from Finland. Practice-based subjects, such as entrepreneurship, have been seen in literature as a problematic field for digital-based education. The studied education was implemented using the synthesis of two computer-mediated communication channels. Analysis based on the content analysis of individual portfolios (diaries), which were returned and stored in the asynchronous platform. In the case study environment, the decision of using use two-channel digital teaching platforms (synchronous and asynchronous) seemed to be successful, because dual channels enable wider forms of feedback and student voice activities during and after the lecture. The results of this study encourage educators to use multifaceted digital educational technology in education and as a channel for the student voice also in practice-based subjects, such as entrepreneurship.

Revealing Student Blogging Activities Using RSS Feeds and LMS Logs

2012 ◽  
pp. 234-249
Author(s):  
Michael Derntl
Keyword(s):  
Computer Mediated Communication ◽  
Activity Patterns ◽  
Lessons Learned ◽  
The Body ◽  
Mediated Communication ◽  
Activity Data ◽  
Computer Mediated ◽  
Rss Feeds ◽  
First Time

Blogs are an easy-to-use, free alternative to classic means of computer-mediated communication. Moreover, they are authentically aligned with web activity patterns of today’s students. The body of studies on integrating and implementing blogs in various educational settings has grown rapidly recently; however, it is often difficult to distill practical advice from these studies since the application contexts, pedagogical objectives, and research methodology differ greatly. This paper takes a step toward an improved understanding of employing blogs in education by presenting a follow-up case study on using blogs as reflective journals in an undergraduate computer-science lab course. This study includes lessons learned and adaptations following from the first-time application, the underlying pedagogical strategy, and a detailed analysis and discussion of blogging activity data obtained from RSS feeds and LMS logs.

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