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"Online reviews have a profound impact on the customer or newbie who want to purchase or consume the product via web 2.0 e-commerce. Online reviews contain features which form half of the analysis in opinion mining. Most of the today’s systems work on the summarization taking the average of the obtained features and their sentiments leading to structured review information. Often the context surrounding the feature is undermined which helps in clearly classifying the sentiment of the review. Web 3.0 based machine interpretable Resource Description Framework (RDF) also structures these unstructured reviews in the form of features and sentiments obtained from traditional preprocessing and extraction techniques with the context data also provided for future ontology based analysis taking support of Wordnet 2.1 lexical database for word sense disambiguation and Sentiwordnet 3.0 scores used for sentiment word extraction. Many popular RDF vocabularies are helpful in the creation of such machine process-able data. In the work to follow, this instance RDF forms the basis for creating/upgrading the (available) OWL Ontology that can be used as structured data model with rich semantics towards supervised machine learning generating sentiment categories and are validated for precise sentiments. These are sent back to the interface as corresponding {feature, sentiment} pair so that reviews are filtered clearly and helps in satisfying the feature set of the customer."

"This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage, exploit and interpret data streams in non-stationary environments. The book includes the required notions, definitions, and background to understand the problem of learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain, discussing advanced aspects and concepts and presenting open problems and future challenges in this field.-Provides multiple examples to facilitate the understanding data streams in non-stationary environments;-Presents several application cases to show how the methods solve different real world problems;-Discusses the links between methods to help stimulate new research and application directions."

"Zaman sekarang banyak orang yang memiliki minat di bidang pemrograman. Adanya perkembangan aplikasi-aplikasi kursus online atau e-learning saat ini membuat mereka beramai-ramai mencari ilmu disana. Meskipun begitu, masih banyak pula ditemukan orang- orang yang memiliki berbagai kendala dan kesulitan dalam memahami materi pemrograman. Oleh karena itu, penelitian ini bertujuan untuk meninjau desain interaksi aplikasi e-learning di bidang pemrograman studi kasus Codecademy, W3Schools, dan Coursera dan mengetahui pengaruhnya terhadap pembelajaran pemrograman mereka. Penelitian ini menggunakan pendekatan metode campuran. Dilakukan pelaksanaan kuesioner daring untuk mendapatkan data kuantitatif dan kualitatif serta usability testing untuk mendapatkan data kualitatif. Selain itu, pada penelitian ini diterapkan prinsip-prinsip dari Shneiderman's Eight Golden Rules of Interface Design. Hasil menunjukkan bahwa dari segi kuantitatif perhitungan SUS, Codecademy dan W3Schools berada pada rentang “OK” dan Coursera berada pada rentang “GOOD”. Tetapi hasil dari segi kualitatif masih perlu dilakukan perbaikan untuk ketiga aplikasi tersebut.

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Today many people have an interest in programming. The development of online course applications or e-learning at this time makes them flock to seek knowledge there. Even so, there are still many people who have various obstacles and difficulties in understanding programming material. Therefore, this study aims to review the interaction design of e-learning applications in the field of Codecademy, W3Schools, and Coursera case study programming and determine its effect on their programming learning. This study uses a mixed methods approach. An online questionnaire was conducted to obtain quantitative and qualitative data as well as usability testing to obtain qualitative data. In addition, this research applies the principles of Shneiderman's Eight Golden Rules of Interface Design. The results show that in terms of quantitative calculations, SUS, Codecademy and W3Schools are in the “OK” range and Coursera is in the “GOOD” range. However, the results in terms of qualitative still need to be improved for the three applications."