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This master's thesis deals with the use of text classification for sorting of incoming emails. First, there is described the Knowledge Discovery in Databases and there is also analyzed in detail the text classification with selected methods. Further, this thesis describes the email communication and SMTP, POP3 and IMAP protocols. The next part contains design of the system that classifies incoming emails and there are also described realated technologie ie Apache James Server, PostgreSQL and RapidMiner. Further, there is described the implementation of all necessary components. The last part contains an experiments with email server using Enron Dataset.

This dissertation examines emerging cultural attitudes, language ideologies, and discursive practices among Navajos and Navajo speakers through the lens of new media technologies on the Navajo Nation. New media such as cell phones and the Internet are significant features of contemporary Navajo communities, and act as both a context for and medium of linguistic and cultural vitality and transformation. They have opened new spaces for Navajo language use, generated emergent uses of the Navajo language, and increased the spaces of language contact and change. This dissertation explores the ways in which ideologies of language and technology have shifted and converged, and describes multiple instances of the transformative nature of technology through the mediation of communities. New technologies do not exist in a vacuum, and novel practices emerge from a wide range of existing observable styles, registers, and norms in Navajo communities. Significant are the shifting geographies of communication, expansion of social networks, and increased circulation of bilingual Navajo hane’, or publicly shared “tellings” in the form of stories, jokes, and information that accompany them. This work analyzes the appearance of new media technologies in contemporary Navajo society within broader discourses of modernity and narratives of progress about, and among, Navajo communities. New technology is not incommensurate with existing practice; rather, emergent practices are part of the broader circulation of Navajo identities, defined here as a process linked to social activities, and emergent practices index the ways in which some Navajos are “doing” community in unexpected ways and unexpected places. New expressive forms and genres have appeared, including a migration to English emails by previously monolingual, illiterate elders, the transition of traditionally oral genres to widely circulated emails, and the appearance of locally created bilingual hip-hop music. These are crucial developments that have immediate implications for Navajo language vitality and cultural continuity. / text

The appearance of the Internet and new, rapidly changing emerging online technologies have led to some fundamental changes in marketing -- especially direct marketing. Besides the growing popularity of the Internet, the appearance of databases and one-to-one marketing are challenging traditional marketing methods. This thesis attempts to illustrate how direct marketing techniques can be implemented in an IT company. It starts with an overview of the concepts of direct marketing and its techniques and then provides a brief synopsis of its past as well as possible future trends. The differences between B2B and B2C marketing communications are discussed as is the role of direct marketing in the information technology (IT industry). The last section presents a case study -- concluded with the cooperation of SEAL Communication and Oracle -- which demonstrates how an IT company can effectively use direct marketing in order to achieve its goals and build long-lasting and fruitful customer relationships. For the successful execution of the direct marketing campaign, both Internet based tools and traditional methods were applied, in order to show that both of these technologies can be used together when targeting different groups with different needs.

This diploma work deals with specific business concept and with possibilities of a company promotion on the Internet. The theoretical segment contains a survey of the Internet business models and a synopsis of current individual forms of promotion used on the Internet. There are described advantages and disadvantages of banner advertising, contextual advertising, email marketing, search engine marketing (SEM), social networks and affiliate marketing. The final part of theoretical section of the thesis is dedicated to the possibilities of propagation efficiency measurements. Practical part of the diploma work introduces author's own business concept and its business model. The description of specific methods of propagation realized in congruence with the noted business concept follows.

Curtin Universitys Embodied Conversational Agents (ECA) combine an MPEG-4 compliant Facial Animation Engine (FAE), a Text To Emotional Speech Synthesiser (TTES), and a multi-modal Dialogue Manager (DM), that accesses a Knowledge Base (KB) and outputs Virtual Human Markup Language (VHML) text which drives the TTES and FAE. A user enters a question and an animated ECA responds with a believable and affective voice and actions. However, this response to the user is normally marked up in VHML by the KB developer to produce the required facial gestures and emotional display. A real person does not react by fixed rules but on personality, beliefs, previous experiences, and training. This thesis details the design, implementation and pilot study evaluation of an Affective Personality Model for an ECA. The thesis discusses the Email Agent system that informs a user when they have email. The system, built in Curtins ECA environment, has personality traits of Friendliness, Extraversion and Neuroticism. A small group of participants evaluated the Email Agent system to determine the effectiveness of the implemented personality system. An analysis of the qualitative and quantitative results from questionnaires is presented.

Nowadays when users navigate in internet they find lots of types of communication scattered across diverse sites. Due to the lack of users’ interests in advertisements, primarily caused by not matching their preferences, today’s advertisements have a low rate of success. Recently, owing to semantic web generation, some companies started to use personalized marketing in communication as a way to turn the conversions around and thus increase customer retention and loyalty. As a matter of fact, the retention and loyalty stages on the internet are, on average, the least crafted of the whole cycle. The customers’ conception of one-to-one marketing is quite ambiguous as they conceive that they need to be more efficient while shopping online but at the same time they feel stalked due to privacy concerns, and oversaturated with non-valuable information. The purpose of this paper is to explore from a holistic view online personalized communication strategies and how they can be implemented in order to increase customer satisfaction thus retaining customers and, in the long-term, gaining their loyalty. The main communication areas the study treats ranges from onsite the online store, where the company wants to sell the product, to offsite advertisements in websites, social media platforms and via email. In the empirical section, the study carried out a quantitative online survey to investigate customers’ perception and complete it with the literature. To answer the research questions, the study identified 19 hypotheses comprising of all primary aspects that define the exploration. The result could be gold dust for e-shop managers to help them maximize the marketing communication factor using personalization. The authors identified potential improvements to motivate customers to register in the online shop, whether communication channels are suited to implementing the strategy or not, and possible aspects to adapt in order to obtain maximal benefits. There were some limitations in terms of an analysis of the companies’ point of view and the necessity to analyze every communication channel more in depth as the study is an initial step.

The advent of the Internet has generated a proliferation of online information-rich environments, which provide information consumers with an unprecedented amount of freely available information. However, the openness of these environments has also made them vulnerable to a new class of attacks called Denial of Information (DoI) attacks. Attackers launch these attacks by deliberately inserting low quality information into information-rich environments to promote that information or to deny access to high quality information. These attacks directly threaten the usefulness and dependability of online information-rich environments, and as a result, an important research question is how to automatically identify and remove this low quality information from these environments. The first contribution of this thesis research is a set of techniques for automatically recognizing and countering various forms of DoI attacks in email systems. We develop a new DoI attack based on camouflaged messages, and we show that spam producers and information consumers are entrenched in a spam arms race. To break free of this arms race, we propose two solutions. One solution involves refining the statistical learning process by associating disproportionate weights to spam and legitimate features, and the other solution leverages the existence of non-textual email features (e.g., URLs) to make the classification process more resilient against attacks. The second contribution of this thesis is a framework for collecting, analyzing, and classifying examples of DoI attacks in the World Wide Web. We propose a fully automatic Web spam collection technique and use it to create the Webb Spam Corpus -- a first-of-its-kind, large-scale, and publicly available Web spam data set. Then, we perform the first large-scale characterization of Web spam using content and HTTP session analysis. Next, we present a lightweight, predictive approach to Web spam classification that relies exclusively on HTTP session information. The final contribution of this thesis research is a collection of techniques that detect and help prevent DoI attacks within social environments. First, we provide detailed descriptions for each of these attacks. Then, we propose a novel technique for capturing examples of social spam, and we use our collected data to perform the first characterization of social spammers and their behaviors.