Topic Detection and Classification in Consumer Web Communication Data

In this study, we examined temporal variation in topics regarding new products by classifying words into clusters based on the co-occurrence of words in Twitter entries. To help identify market trends, analysis of consumer tweet data has received much attention. We collected Twitter entries about new products based on their specific expressions of sentiment or interest. The matrix obtained from the Twitter entries are sparse and of high dimensionality, so we need to perform a dimensionality reduction analysis. We analyzed the matrix using non-negative matrix factorization to reduce the dimensionality. We also clarified temporal variation by using the weight coefficients which show the strength of associations between entries and topics. It is important to consider the temporal variation of these topics when detecting trending topics by classifying words into clusters based on co-occurrence of words

When Things Matter: A Data-Centric View of the Internet of Things

With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday objects to the Internet and facilitating machine-to-human and machine-to-machine communication with the physical world. While IoT offers the capability to connect and integrate both digital and physical entities, enabling a whole new class of applications and services, several significant challenges need to be addressed before these applications and services can be fully realized. A fundamental challenge centers around managing IoT data, typically produced in dynamic and volatile environments, which is not only extremely large in scale and volume, but also noisy, and continuous. This article surveys the main techniques and state-of-the-art research efforts in IoT from data-centric perspectives, including data stream processing, data storage models, complex event processing, and searching in IoT. Open research issues for IoT data management are also discussed

Dirichlet belief networks for topic structure learning

Recently, considerable research effort has been devoted to developing deep architectures for topic models to learn topic structures. Although several deep models have been proposed to learn better topic proportions of documents, how to leverage the benefits of deep structures for learning word distributions of topics has not yet been rigorously studied. Here we propose a new multi-layer generative process on word distributions of topics, where each layer consists of a set of topics and each topic is drawn from a mixture of the topics of the layer above. As the topics in all layers can be directly interpreted by words, the proposed model is able to discover interpretable topic hierarchies. As a self-contained module, our model can be flexibly adapted to different kinds of topic models to improve their modelling accuracy and interpretability. Extensive experiments on text corpora demonstrate the advantages of the proposed model.Comment: accepted in NIPS 201

Hilltops and Marches: A Cultural and Semiotic Analysis of Pepsi and Coca-Cola Advertising Strategies

The Coca-Cola Company released an advertisement in 1971 that had powerful themes of unity in a time of significant discord around the world. Almost 50 years later, the Pepsi Company released an advertisement that aimed to accomplish similar values of unity and commonality when the world seemed at odds with itself. While both advertisements sought to convey similar messages, the reception could not have been more different. Coca-Cola has experienced continued praise for their famous “Hilltop” advertisement while Pepsi was forced to take their advertisement down within 24 hours of its release. This paper utilizes semiotic theory to analyze the signs in the advertisements to create an understanding of how each advertisement was perceived differently. In order to understand a semiotic approach, this paper also approaches semiotics with respect to the historical contexts surrounding both advertisements

Spillover Effects of Management Companies in the Vtuber Market

학위논문(석사) -- 서울대학교대학원 : 경영대학 경영학과, 2021.8. 윤혜리.Increasing usage of social media has given subsequent birth to micro-celebrities, or social media influencers (SMIs). Despite the fact that SMIs function as key opinion-leaders in society and the market, little is known about what traits make an SMI popular in the first place. While SMIs are generally considered to gain popularity from rock-bottom through individual endeavors alone, we find an exceptional media sector consisting of virtual YouTubers (vtubers). A vtuber, unlike the usual human YouTuber, is an artificially created figure strictly managed by sponsoring companies from the beginning of his/her debut. Finding a similarity between sponsor-vtuber relationships and parent-child relationships within brand extensions, we ran a random effects model against 560 company-owned vtubers to check whether similar spillover effects can be observed in a social media context as well. Our research yielded positive results, suggesting the existence of persistent spillover effects based on parent-brand popularity. An additional time series analysis was conducted against the weekly changes in the size of management agency influence on their affiliated vtubers. An ARIMA(1,2,0) model demonstrates a high fit with our data, and we find that the model confirms a constantly decreasing size of influence along with the passage of time.소셜미디어의 확산은 마이크로셀레브리티와 소셜미디어 인플루언서(SMI)의 등장을 초래했다. 이미 사회적, 경제적으로 SMI들이 오피니언 리더로서 큰 영향력을 행사하고 있음에도 불구하고 이들이 정확히 어떤 근본적 요인으로 인해 대중적 인기를 얻게 되었는지에 대해 알려진 바는 많지 않다. 많은 경우에 SMI들이 순수하게 자력으로만 팬덤을 구축하는 것으로 간주되는 것에 반해, 필자들은 버츄얼 유튜버(vtuber) 업계로부터 예외적인 상황을 목격했다. 일반적인 인간 유튜버와 달리, vtuber는 데뷔 이전부터 소속사로부터 엄격하게 관리당하고 통제 받는 가상의 디지털 캐릭터들이다. 본 연구에서는 소속사 대 vtuber의 관계가 브랜드 확장 상태의 모브랜드 대 신규 브랜드의 관계와 유사하다는 점에 착안하여, 후자의 경우에 관찰되는 스필오버 효과가 전자에서도 발현되는지 검증하기 위해 소속사와 계약을 맺고 있는 총 560 명의 vtuber에 대해 임의효과 모형을 적용시킨다. 그 결과, 소속사의 영향력이 vtuber의 인기에 대해 긍정적 스필오버 효과가 있음이 확인되었다. 또, 주차별 스필오버 효과 크기의 변화에 대한 시계열 분석을 통해 추세를 예측하는 데 적합한 모형으로 ARIMA(1,2,0) 모델을 특정해내어 시간이 지남에 따라 스필오버 효과가 감소하는 경향성을 지님을 검증했다.Chapter 1. Introduction 1 Chapter 2. Literature Review 3 Chapter 3. Research Model and Hypotheses 14 Chapter 4. Data Analysis and Methodology 18 Chapter 5. Results 21 Chapter 6. Discussion and Conclusion 29 Bibliography 32 Abstract in Korean 41 Appendices 42석

Developling a communication strategy to enter the mariculture market

The purpose of this master project is to develop a communication plan for a new Portuguese off-shore mariculture company called AtlanticPrime. The ever-rising demand for good quality protein requires finding new sustainable alternatives to meat production and intensive fishing. Overfishing is one of the greatest challenges of our times. It threatens the survival of various marine species, the balance of the ecosystems and the living conditions of entire communities who depend on fishing to make a living. Aquaculture is an industry that has been significantly growing in the last years. It has become a very competitive market that counts with multiple players from all parts of the world. The species produced and the methods used are extremely diverse. Being so recent, AtlanticPrime does not have a communication strategy yet. Moreover, considering that mariculture is not a commonly known subject, it is extremely important to invest in effective and innovative communication ideas that generate brand awareness and differentiate the company right from the beginning of its activity. AtlanticPrime’s proposed communication strategy integrates both traditional and digital tools and is meant to be implemented during the period of one year. Prior to the creation of this plan, it was made an extensive research of external and internal factors related to the company, using different sources of information. The recommended ideas are directed to other businesses (buyers), as well as to end-consumers, and follow the latest communication trendsO objectivo deste projecto é desenvolver um plano de comunicação para uma nova empresa portuguesa de Maricultura off-shore. A crescente procura de proteína de qualidade requer que encontremos alternativas sustentáveis à produção de gado e à pesca intensiva. A sobrepesca é um dos maiores desafios que enfrentamos na actualidade, uma vez que ameaça a sobrevivência de inúmeras espécies marinhas, o equilíbrio dos ecossistemas e a subsistência de várias comunidades que dependem da pesca tradicional como forma de sustento. A indústria da Aquacultura tem tido um crescimento significativo nos últimos anos. Tornou-se num mercado bastante competitivo que conta já com múltiplos concorrentes de diferentes partes do mundo. As espécies produzidas, bem como métodos de produção praticados são já bastante diversificados. Sendo uma empresa recente, a AtlanticPrime ainda não desenvolveu a sua estratégia de comunicação. Tendo em conta que o tema da maricultura é ainda desconhecido para grande parte dos consumidores, é extremamente importante investir em ideias de comunicação eficientes e inovadoras que criem brand awareness e ajudem a empresa a diferenciar-se desde a sua entrada no mercado. A estratégia de comunicação proposta para a AtlanticPrime integra ferramentas tradicionais e digitais e foi pensada para ter a duração de um ano. Antes da elaboração deste plano, foi feita uma extensa pesquisa de factores externos e internos da empresa, recorrendo a variadas fontes de informação. As ideias recomendadas estão direcionadas a outras empresas (compradoras), bem como a consumidores finais, seguindo as últimas tendências de comunicação