Online reviews have bridged the gap between traditional word-of-mouth and viral communication, influencing peer's decision processes. Analyzing tourists' online helps hotels address overall customer (dis)satisfaction. Using sentiment analysis to understand reviewers' satisfaction analyze voice tone expressed feelings, this research attempts enlarge hotel, platform, tourist trilogy's knowledge. ...

Müzeler kültürel deneyimin önemli bir bileşeni olarak gündemdeki yerini korumaktadır. Gastronomik deneyim yaşamak ve bilgi birikimlerini artırmak isteyen turistlerin yöneldikleri alanların başında gastronomi müzeleri gelmektedir. Çalışma kapsamında Türkiye’dekigastronomi temalı müzelerdeki ziyaretçi deneyimleri; hizmet hataları yönünden incelenerek, müzelerine ziyaretçilerine; deneyimlerini gel...

Continued population growth and urbanization is shifting research to consider the quality of urban green space over quantity these parks, woods, wetlands. The has been hitherto measured by expert assessments, including in-situ observations, surveys, remote sensing analyses. Location data platforms, such as TripAdvisor, can provide people’s opinion on many destinations experiences, UGS. This pap...

Many web services like eBay, Tripadvisor, Epinions, etc, provide historical product ratings so that users can evaluate the quality of products. Product ratings are important since they affect how well a product will be adopted by the market. The challenge is that we only have " partial information " on these ratings: Each user provides ratings to only a " small subset of products ". Under this ...

A. Neustein and J.A. Markowitz (eds.), Mobile Speech and Advanced Natural Language Solutions, DOI 10.1007/978-1-4614-6018-3_5, © Springer Science+Business Media New York 2013 Abstract Paradoxically, in an era when cyber-postings proliferate on the Web, much of the valuable information that can be mined from user-generated content (UGC) still eludes most mining programs. One reason this massive ...

E-commerce recommender systems seek out matches between customers and items in order to help customers discover more relevant and satisfying products and to increase the conversion rate of browsers to buyers. To do this, a recommender system must learn about the likes and dislikes of customers/users as well as the advantages and disadvantages (pros and cons) of products. Recently, the explosion...

This paper presents a new approach for finding the best ngrams that efficiently summarize a large set of reviews. The proposed unsupervised method uses a readability score and a representativeness score to select those n-grams that best convey the main opinions contained in the processed reviews. In order to further refine the selected n-grams, we use sentiment analysis and part of speech (POS)...

Distributed stream processing systems need to support stateful processing, recover quickly from failures to resume such processing, and reprocess an entire data stream quickly. We present Apache Samza, a distributed system for stateful and fault-tolerant stream processing. Samza utilizes a partitioned local state along with a low-overhead background changelog mechanism, allowing it to scale to ...

Information systems researchers have shown an increasing interest in the notion of sociomateriality. In this paper, we continue this exploration by focusing specifically on entanglement: the inseparability of meaning and matter. Our particular approach is differentiated by its grounding in a relational and performative ontology, and its use of agential realism. We explore some of the key ideas ...