• 제목/요약/키워드: media text

검색결과 831건 처리시간 0.024초

Microblogging Sentiment Investor, Return and Volatility in the COVID-19 Era: Indonesian Stock Exchange

  • FARISKA, Putri;NUGRAHA, Nugraha;PUTERA, Ika;ROHANDI, Mochamad Malik Akbar;FARISKA, Putri
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.61-67
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    • 2021
  • The covid-19 pandemic scenario caused the most extensive economic shocks the world has experienced in decades. Maintaining financial performance and economic stability is essential during the pandemic period. In these conditions, where movement is severely restricted, media consumption is considered to be increasing. The social media platform is one of the media online used by the public as a source of information and also expressing their sentiment, including individual investors in the capital market as social media users. Twitter is one of the social media microblogging platforms used by individual investors to share their opinion and get information. This study aims to determine whether microblogging sentiment investors can predict the capital market during pandemics. To analyze microblogging sentiment investors, we classified sentiment using the phyton text mining algorithm and Naïve Bayesian text classification into level positive, negative, and neutral from November 2019 to November 2020. This study was on 68 listed companies on the Indonesia stock exchange. A Vector Autoregression and Impulse Response is applied to capture short and long-term impacts along with a causal relationship. We found that microblogging sentiment investor has a significant impact on stock returns and volatility and vice-versa. Also, the response due to shocks is convergent, and microblogging investors in Indonesia are categorized as a "news-watcher" investor.

텍스트와 음성의 앙상블을 통한 다중 감정인식 모델 (Multi-Emotion Recognition Model with Text and Speech Ensemble)

  • 이명호;임명진;신주현
    • 스마트미디어저널
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    • 제11권8호
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    • pp.65-72
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    • 2022
  • COVID-19로 인해 대면으로 이루어지던 상담 방식이 비대면으로 진행되면서 비대면 상담의 중요성이 높아지고 있다. 비대면 상담은 온라인으로 언제 어디서든 상담할 수 있고, COVID-19에 안전하다는 장점이 있다. 그러나 비언어적 표현의 소통이 어려워 내담자의 마음을 이해하기 어렵다. 이에 비대면 상담 시 내담자의 마음을 잘 알기 위해서는 텍스트와 음성을 정확하게 분석하여 감정을 인식하는 것이 중요하다. 따라서 본 논문에서는 텍스트 데이터는 자음을 분리한 후 FastText를 사용하여 벡터화하고, 음성 데이터는 Log Mel Spectrogram과 MFCC를 사용하여 각각 특징을 추출하여 벡터화한다. 벡터화된 데이터를 LSTM 모델을 활용하여 5가지 감정을 인식하는 다중 감정인식 모델을 제안한다. 다중 감정인식은 RMSE을 활용하여 계산한다. 실험 결과 텍스트와 음성 데이터를 각각 사용한 모델보다 제안한 모델의 RMSE가 0.2174로 가장 낮은 오차를 확인하였다.

Efficient Text Identifier for Mobile Web Browser

  • Nomoto, Leonardo Juniti;Kim, Chang-Su
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2008년도 추계학술대회
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    • pp.75-76
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    • 2008
  • Mobile devices are being widely used to access Internet contents. However, most available web pages are designed for desktop computers and consequently it is inconvenient to browse large web pages on mobile devices with small screen. Text identification is a process to extract texts from the body of a web page, which are then displayed in a comfortable way for reading. In this paper, we propose a text extraction scheme and discuss its implementation.

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Competitive intelligence in Korean Ramen Market using Text Mining and Sentiment Analysis

  • Kim, Yoosin;Jeong, Seung Ryul
    • 인터넷정보학회논문지
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    • 제19권1호
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    • pp.155-166
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    • 2018
  • These days, online media, such as blogospheres, online communities, and social networking sites, provides the uncountable user-generated content (UGC) to discover market intelligence and business insight with. The business has been interested in consumers, and constantly requires the approach to identify consumers' opinions and competitive advantage in the competing market. Analyzing consumers' opinion about oneself and rivals can help decision makers to gain in-depth and fine-grained understanding on the human and social behavioral dynamics underlying the competition. In order to accomplish the comparison study for rival products and companies, we attempted to do competitive analysis using text mining with online UGC for two popular and competing ramens, a market leader and a market follower, in the Korean instant noodle market. Furthermore, to overcome the lack of the Korean sentiment lexicon, we developed the domain specific sentiment dictionary of Korean texts. We gathered 19,386 pieces of blogs and forum messages, developed the Korean sentiment dictionary, and defined the taxonomy for categorization. In the context of our study, we employed sentiment analysis to present consumers' opinion and statistical analysis to demonstrate the differences between the competitors. Our results show that the sentiment portrayed by the text mining clearly differentiate the two rival noodles and convincingly confirm that one is a market leader and the other is a follower. In this regard, we expect this comparison can help business decision makers to understand rich in-depth competitive intelligence hidden in the social media.

Effects of selenate and L-glutamate on the growth of Mycobacterium tuberculosis complex

  • Kim, Seung-Cheol;Kim, Jin-Sook;Monoldorova, Sezim;Cho, Jang-Eun;Hong, Minsun;Jeon, Bo-Young
    • 한국동물위생학회지
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    • 제41권4호
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    • pp.239-244
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    • 2018
  • Mycobacterium tuberculosis (M. tuberculosis) complex is the causative agent of tuberculosis (TB) in humans and bovine TB in mammalian hosts and grows very slowly. Selenium is a central molecule in nitrogen metabolism and an essential ingredient for all living cells and glutamic acid. The effects of selenium on the growth of M. tuberculosis, a representative slow-growing Mycobacterium species, were investigated and measured using the BacT Alert 3D System (MB/BacT System). Sodium selenate, at a final concentration of $10{\mu}g/mL$, reduced the average time-to detection (TTD) to 197.2 hours (95% confidence interval (CI), 179.6~214.8) from 225.1 hours (95% CI, 218~232.0) in the control culture media (P<0.05). The TTD did not increase with $\text\tiny{L}$-glutamate concentrations up to $10{\mu}g/mL$, but a significant reduction in the TTD was observed in the presence of $20{\mu}g/mL$ ${\text\tiny{L}}$-glutamate in culture media (P<0.05). In conclusion, selenate and ${\text\tiny{L}}$-glutamate enhance the growth of M. tuberculosis.

Informix Media Asset Management

  • BBC Case Study
    • 한국데이타베이스학회:학술대회논문집
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    • 한국데이타베이스학회 1998년도 국제 컨퍼런스: 국가경쟁력 향상을 위한 디지틀도서관 구축방안
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    • pp.83-98
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    • 1998
  • Who needs Media Asset Management? ◆ Publishers ◆ Any company publishing newspapers, magazines, catalogs or web sites. ◆ Content Creators ◆ Companies who create content for use in their business ◆ Broadcasters, Advertising Agencies, Studios, Sports Houses (NBA, NFL), Corporate Training Depts, Retailers ◆ Content Distributors ◆ Cable Operators, Telecoms, Internet Service Providers, Online Service Providers Who needs Media Asset Management? ◆ There's a LOT of money being spent on this kind of technology, and not just by 'media' companies ◆ Retailers, for catalogs, web sites, call centers ◆ Chems/Pharms, for drug. discovery, knowledge management ◆ Legal, for document and knowledge management ◆ Federal, for video surveillance and knowledge management ◆ Manufacturing, for integration of CAD, text and business-to-business applications ◆ Anyone with a Web/Content Management challenge(omitted)

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라디오 프로그램 <여성시대> 분석 : 여성주의적 공간의 가능성 (Text Analysis of : Possibilities of Feminist Sphere in Radio)

  • 김은정
    • 한국언론정보학보
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    • 제16권
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    • pp.36-70
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    • 2001
  • The purpose of this study is to investigate women's radio talk program and evaluate its possibilities and limitation from the point of feminist perspective. The theoretical framework is based on feminist studies and text analysis of talk show. Existing studies regarding talk show are mainly focused on television. But radio talk show is one of general entertainment and it's influences on minorities are still significant. is the most representative women's radio talk program in Korea. It has been broadcasted over 10 years and very popular among Korean housewives. The audience of this program call themselves schoolfellow, and call the program 'school of women'. The media text of is mainly consisted of letters from women audiences, and they are selected by producers. So the text is made by both audiences and producers. The unique combination of this process produces complicated discourses which contain women's experiences in letters and station's considerations through safekeeping. The problems investigated in this study are as follows: First, What discourses are produced in this program? Second, Alternative possibilities can be seen in this program in feminist perspectives? Text analysis of 1week(2000.9.18-9.24) and interview with producers are accomplished to this purposes. In the text analysis, subject matters, inscribed women's position, values of the letters are revealed. Most of the subject matters are family affairs. Some are socially oriented but family and home are the predominant category of women's letters. And the position of women subject is defined in the domestic network. They are nameless but the mother, wife, daughter, daughter-in-law of other people. In value, family-oriented value and small happiness in everyday life are generally appeared. But these values are essentially coincide with the values of status quo. The answers of the conflict are not public but individualized. And acception the status quo is presented as the wisest decision, But ` has many implications in relation to women's sharing of their experience, and construction of imagined community in media. Women continuously interact each other revealing and discussing their experiences and sometimes their social practices are stirred through this media sphere. So we see the 'emotional union' among women are formed through radio. The limitation of this program is very apparent: it's patriarchic values, acception of status quo, and individualization of the women's problems. But in the same time we can read coexisting it's latent possibilities: the possibilities of women's public sphere. But it is completely alternative women's sphere in feminist perspectives. It renders women opportunities to participate public media and share with other women, and collaborate with their problem.

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An Optimal Weighting Method in Supervised Learning of Linguistic Model for Text Classification

  • Mikawa, Kenta;Ishida, Takashi;Goto, Masayuki
    • Industrial Engineering and Management Systems
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    • 제11권1호
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    • pp.87-93
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    • 2012
  • This paper discusses a new weighting method for text analyzing from the view point of supervised learning. The term frequency and inverse term frequency measure (tf-idf measure) is famous weighting method for information retrieval, and this method can be used for text analyzing either. However, it is an experimental weighting method for information retrieval whose effectiveness is not clarified from the theoretical viewpoints. Therefore, other effective weighting measure may be obtained for document classification problems. In this study, we propose the optimal weighting method for document classification problems from the view point of supervised learning. The proposed measure is more suitable for the text classification problem as used training data than the tf-idf measure. The effectiveness of our proposal is clarified by simulation experiments for the text classification problems of newspaper article and the customer review which is posted on the web site.

PSYCHO-PHYSICAL ANALYSIS OF PAPER AND A NEW DESIGN CONCEPT OF PAPER MEDIA FOR THE NEXT CENTURY

  • Fumihiko ONABE
    • 한국펄프종이공학회:학술대회논문집
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    • 한국펄프종이공학회 1999년도 Proceedings of Pre-symposium of the 10th ISWPC
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    • pp.209-213
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    • 1999
  • In the society of the 21\ulcorner century under multiphase media conditions, the rapidly glowing electronic media will replace the conventional paper media in a variety of areas. However, if human being still has an affinity for paper media and an instinct for hardcopy from electronic-based text or image, the new market will be created for the paper industry. To what extent the consumer choses paper media for output will depend upon the availability of functions of paper media appealing to human senses; i.e., "sensory functions of paper". As a whole, on-demand type personal as well as business communications will increase in the next century and this trend will lead certainly to a rapidly expanding "contents hardcopy market". The technological progress of the paper industry in the 21\ulcorner century depends upon the market needs for higher products quality and higher efficiency of manufacturing process as well as an endeavour to overcome constraints from forest resource, energy, and environmental issues. Under the conditions with above constraints, the paper media will be polarized into two categories; (1)paper for higher image reproduction capability for original image or text and (2)paper for lower reproduction but with higher appeals for human senses. To cope with these trends, psycho-physical analysis and a sensory engineering approach for developing new paper media is vitally required. Also newly emerged roles of paper physics in the multimedia age is pointed out associated with sensory functions of paper that are not well-understood so far.

온라인 영역에서 유럽 미디어 자유법의 전통 미디어 콘텐츠 문제 해결 가능성에 관한 연구 (Could European Media Freedom Act solve the problems of traditional media's content in the online sphere?)

  • Gosztonyi, Gergely;Lendvai, Ferenc Gergely
    • 정보화정책
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    • 제31권1호
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    • pp.72-82
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    • 2024
  • 오늘날 온라인 플랫폼에서 전통적인 미디어 콘텐츠의 존재는 중요한 문제 중 하나이며, 유럽 미디어 자유법 (EMFA) 제17조는 이를 규제하고자 합니다. 그러나 디지털 서비스 규정과의 조화, 정의의 사용, 미디어 패스트 트랙 메커니즘 등 현재 버전의 텍스트에는 아직 결함이 없는 것으로 보이며, 최종 텍스트가 채택되기 전에 신중한 입법적 조사가 필요합니다. 이글에서는 EMFA가 구상하는 자진 신고 절차가 불량 미디어 행위자에게 허점을 만들어 유럽과 수평적 수준 모두에서 혼란을 가져올지, 아니면 유럽 내부 미디어 시장의 기능을 개선하고 독립 미디어를 강화하려는 EMFA의 원래 목표에 부합하는지 살펴봅니다