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A Combinatorial Approach for Predicting Online Review Helpfulness of Indian Online Travel Agencies
Full text linkOnline user reviews are quite popular in social media, e-commerce and review websites. It is commonly referred as word of mouth which provides positive and negative messages from users about products and services. It helps users to get insights through review ratings and subjective feedback. As the volumes of reviews are high, it makes it harder for users to identify the helpfulness upfront. In general helpfulness rating is provided by the users who read the review, but many reviews still stay unrated. In this paper, we propose an approach of predicting helpfulness of such reviews from mouthshut.com using a combinatorial approach of empirical analysis and naïve Bayes machine learning method. The data set is chosen for Indian Online Travel Agencies (OTA) namely Makemytrip, Cleartrip, Yatra, Goibibo, and Expedia India. A detailed experiment is conducted and results are discussed by analyzing review metadata characteristics
Open Higher Education: Universities as leaders in open access
No full textUniversities are seats of higher education and research. Historically, most universities have been patronized and funded by governments. Most of the research and academic activities in most universities are essentially funded by public funds collected in the form of taxes. However much of the output of the research which is carried out in these universities is unfortunately in possession of commercial publishers. The ever increasing prices of scholarly journals and books have brought even the most resourceful libraries of the world to a saturation point. Libraries are no longer able to sustain subscriptions due to stagnant budgets on the one hand and high-cost of publications on the other. The paper discusses these issues and proposes that the Indian universities take up a leadership role in promoting open access to scholarly publications. This paper argues that it is the social responsibility of universities to encourage and implement open access to scholarly information produced by their respective faculty members and researchers
Knowledge Extraction Technique for Indexing/Ontology Engineering
No full textThe ontology and indexing engineering problems relate to selecting, terms,
accepting them, enhancing them with RT, BT, and NT, etc. Also, ontological
relationship of terms of a domain poses problems. Hence, the survey of various
indexing techniques, such as, keyword in context, KWOC, Precis, POPSI, etc is pointed out. In the context of web, the problems and search engine approaches are observed. It propose the use of POPSI, for ontology engineering
Knowledge Management in Corporate Sector: An overview
No full textIntroduces the concept of Knowledge management, its importance in a
corporate environment, the main objective, and strategies to be adopted for its
implementation. Major benefits of a KM system, the role of a knowledge manager, major challenges and tools that are available for harvesting and capturing knowledge assets are discussed. Finally, the initiative taken at DASTUR is briefly outlined
