Review on recent advances in information mining from big consumer opinion data for product design

In this paper, based on more than ten years' studies on this dedicated research thrust, a comprehensive review concerning information mining from big consumer opinion data in order to assist product design is presented. First, the research background and the essential terminologies regarding online consumer opinion data are introduced. Next, studies concerning information extraction and information utilization of big consumer opinion data for product design are reviewed. Studies on information extraction of big consumer opinion data are explained from various perspectives, including data acquisition, opinion target recognition, feature identification and sentiment analysis, opinion summarization and sampling, etc. Reviews on information utilization of big consumer opinion data for product design are explored in terms of how to extract critical customer needs from big consumer opinion data, how to connect the voice of the customers with product design, how to make effective comparisons and reasonable ranking on similar products, how to identify ever-evolving customer concerns efficiently, and so on. Furthermore, significant and practical aspects of research trends are highlighted for future studies. This survey will facilitate researchers and practitioners to understand the latest development of relevant studies and applications centered on how big consumer opinion data can be processed, analyzed, and exploited in aiding product design

Evaluating the impact of social-media on sales forecasting: a quantitative study of worlds biggest brands using Twitter, Facebook and Google Trends

In the world of digital communication, data from online sources such as social networks might provide additional information about changing consumer interest and significantly improve the accuracy of forecasting models. In this thesis I investigate whether information from Twitter, Facebook and Google Trends have the ability to improve daily sales forecasts for companies with respect to the forecasts from transactional sales data only. My original contribution to this domain, exposed in the present thesis, consists in the following main steps: 1. Data collection. I collected Twitter, Facebook and Google Trends data for the period May 2013 May 2015 for 75 brands. Historical transactional sales data was supplied by Certona Corporation. 2. Sentiment analysis. I introduced a new sentiment classification approach based on combining the two standard techniques (lexicon-based and machine learning based). The proposed method outperforms the state-of-the-art approach by 7% in F-score. 3. Identification and classification of events. I proposed a framework for events detection and a robust method for clustering Twitter events into different types based on the shape of the Twitter volume and sentiment peaks. This approach allows to capture the varying dynamics of information propagation through the social network. I provide empirical evidence that it is possible to identify types of Twitter events that have significant power to predict spikes in sales. 4. Forecasting next day sales. I explored linear, non-linear and cointegrating relationships between sales and social-media variables for 18 brands and showed that social-media variables can improve daily sales forecasts for the majority of brands by capturing factors, such as consumer sentiment and brand perception. Moreover, I identified that social-media data without sales information, can be used to predict sales direction with the accuracy of 63%. The experts from the industry consider the results obtained in this thesis to be valuable and useful for decision making and for making strategic planning for the future

Search beyond traditional probabilistic information retrieval

"This thesis focuses on search beyond probabilistic information retrieval. Three ap- proached are proposed beyond the traditional probabilistic modelling. First, term associ- ation is deeply examined. Term association considers the term dependency using a factor analysis based model, instead of treating each term independently. Latent factors, con- sidered the same as the hidden variables of ""eliteness"" introduced by Robertson et al. to gain understanding of the relation among term occurrences and relevance, are measured by the dependencies and occurrences of term sequences and subsequences. Second, an entity-based ranking approach is proposed in an entity system named ""EntityCube"" which has been released by Microsoft for public use. A summarization page is given to summarize the entity information over multiple documents such that the truly relevant entities can be highly possibly searched from multiple documents through integrating the local relevance contributed by proximity and the global enhancer by topic model. Third, multi-source fusion sets up a meta-search engine to combine the ""knowledge"" from different sources. Meta-features, distilled as high-level categories, are deployed to diversify the baselines. Three modified fusion methods are employed, which are re- ciprocal, CombMNZ and CombSUM with three expanded versions. Through extensive experiments on the standard large-scale TREC Genomics data sets, the TREC HARD data sets and the Microsoft EntityCube Web collections, the proposed extended models beyond probabilistic information retrieval show their effectiveness and superiority.

CONECTAREA ÎNTREPRINDERII LA MEDIUL PRODUCTIV MODERN

Managementul, marketingul, calitatea resurselor de intrare, sistemul informatic si cel informational pot fi perfectionate însa viitorul performant al productiei este asigurat de transformarile (schimbarile) tehnologice, a caror infuzie modifica parametrii finali ai modelului productiv-economic. Mediul exterior întreprinderii poate fi a) stabil (evolutii „linistite”, adaptabilitate facila, b) instabil (cu frecvente modificari în componentele sale sau c) turbulent (ostil întreprinderii).mediul productiv modern; modelul productiv-economic

Hickerson: Suburban News Articles, 1992-2017

https://digitalcommons.brockport.edu/local_books/1025/thumbnail.jp

The child and the spirit: Archetypal patterns in New Woman fiction.

This thesis offers a Jungian-inflected reading of three key New Woman novels: Mona Caird's The Daughters of Danaus (1894), Sarah Grand's The Beth Book (1897), and Olive Schreiner's From Man to Man (1926). By examining two archetypal images---the Child and the Spirit---not as psychological entities but as symbolic forms in the socio-cultural context of the fin de siecle, I explore the ways in which feminist New Woman writers seek to present women artists' collective experience and the extent to which their work revises the dominant discourses of female subjection and sacrifice. Part I is engaged with the Child Archetype with a focus first on the Abandoned Child, where I investigate sisterless children through a combined discourse of sisterhood and trickster. In Chapter 1, I add a discussion of Caird's maternal theory and a mythic reading to examine motherless children. In Chapter 2, I include a study of a loverless child to cast light on the conventional ideology of woman's purity. In the second section of this Part, where Chapter 3 is located, I scrutinize the ways in which Grand portrays the Nature Child in the Romantic and Transcendental fashions, the ethics of which, I argue, anticipate today's ecofeminism. Part II deals with the Spirit Archetype in different manifestations (the Wise Old Man in Chapter 4, the Romantic Knight in Chapter 5, and the Platonic Lover in Chapter 6), drawing attention to gender-power politics in relation to the New Man and the New Woman by adopting different approaches (revised Jungian, quasi-Bakhtinian Camivalesque, and narratology). Shifting signifiers, the Child and the Spirit archetypes, I argue, are New Woman writers' strategic vehicles to (con)textualize women's collective concerns. This act of female "unconsciousness-raising" caused a sensation at the time and can now serve to better our understanding of the diversity and discursiveness of the New Woman movement

Beyond the plantation: salt, Turks Islands, Bermuda and the British Atlantic world, 1660s-1850s

This thesis offers a briny counterpoint to the sugar-centred focus of Caribbean historiography, finding encouragement in research that looks beyond the plantation and towards the Atlantic’s maritime and migratory populations. It argues that the model of plantation-driven development cannot adequately explain the diverse array of socioeconomic and political processes that occurred within the Caribbean. It uses the principal salt islands of the British Caribbean – Turks Islands – as a case study and follows a sinew population of Bermudian salt gatherers, merchants and enslaved salt rakers into an alternative space of slavery. Its chronological scope begins with these islands’ discovery by seafaring Bermudians in the 1660s and extends to a generation beyond emancipation. It takes a cis-Atlantic approach, exploring different historical themes at different analytical scales, in order to demonstrate that the history of Turks Islands, and their position within the British Atlantic world, cannot be fully understood without salt taking centre stage. However, while this thesis diversifies our understanding of Caribbean processes, it does not intend to fragment the region’s history further. Here the salt industry did not compete with the sugar industry. It complemented, supported and literally fed into it, as salted rations reinforced plantation provisioning. In delving into the history of salt’s production and trade, this thesis shines a light on an ancillary industry of the sugar plantation complex. In the process, a rich inter-island history between Turks Islands and Bermuda is revealed that raises a question about transplantation between colonial societies. This thesis finds that while Turks Islands were, in many ways, an extension of Bermuda’s maritime economy, salt’s materiality and its saline environment also spoke with its own vernacular. This shaped an unusual trajectory for Turks Islands, as they were drawn away from the margins and into the British Atlantic world