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Dimitrios Amanatidis, Ifigeneia Mylona, Irene (Eirini) Kamenidou, Spyridon Mamalis and Aikaterini Stavrianea
Instagram is perhaps the most rapidly gaining in popularity of photo and video sharing social networking applications. It has been widely adopted by both end-users and organizations, posting their personal experiences or expressing their opinion during s...
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April Edwards, MaryLyn Sullivan, Ezrah Itkowsky and Dana Weinberg
As the amount of textual data available on the Internet grows substantially each year, there is a need for tools to assist with exploratory data analysis. Furthermore, to democratize the process of text analytics, tools must be usable for those with a no...
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Shafie Gholizadeh, Armin Seyeditabari and Wlodek Zadrozny
Topological Data Analysis (TDA) refers to a collection of methods that find the structure of shapes in data. Although recently, TDA methods have been used in many areas of data mining, it has not been widely applied to text mining tasks. In most text pro...
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Saeede Anbaee Farimani, Majid Vafaei Jahan and Amin Milani Fard
News dissemination in social media causes fluctuations in financial markets. (Scope) Recent advanced methods in deep learning-based natural language processing have shown promising results in financial market analysis. However, understanding how to lever...
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Hossein Hassani, Christina Beneki, Stephan Unger, Maedeh Taj Mazinani and Mohammad Reza Yeganegi
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data. This study seeks to ...
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Ingo Jost, Joao Francisco Valiati
Pág. 91 - 102
Deep Learning has been successfully applied in hard to solve areas, such as image recognition and audioclassification. However, Deep Learning has not yet reached the same performance when employed in textual data,including Opinion Mining. In models that ...
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Damir Pintar,Domagoj Begu?ic,Frano ?kopljanac-Macina,Mihaela Vranic
Pág. 312 - 319
Educational data mining (or EDM) is an emerging interdisciplinary research field concerned with developing methods for exploring the specific and diverse data encountered in the field of education. One of the most valuable data sources in the educational...
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Maria Nefeli Nikiforos, Konstantina Deliveri, Katia Lida Kermanidis and Adamantia Pateli
Highly-skilled migrants and refugees finding employment in low-skill vocations, despite professional qualifications and educational backgrounds, has become a global tendency, mainly due to the language barrier. Employment prospects for displaced communit...
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Rempu Sora Rayat, Adenantera Dwicaksono, Heru P. H. Putro and Puspita Dirgahayani
This paper presents methods of retrieving Twitter data, both streaming and archive data, using Application Programming Interfaces. Twitter data are a kind of Location Based Social Network Data that, nowadays, is emerging in transportation demand modeling...
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Yilong Wu, Yingjie Chen, Rongyu Zhang, Zhenfei Cui, Xinyi Liu, Jiayi Zhang, Meizhen Wang and Yong Wu
With the proliferation and development of social media platforms, social media data have become an important source for acquiring spatiotemporal information on various urban events. Providing accurate spatiotemporal information for events contributes to ...
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Ivan S. Blekanov, Nikita Tarasov and Svetlana S. Bodrunova
Abstractive summarization is a technique that allows for extracting condensed meanings from long texts, with a variety of potential practical applications. Nonetheless, today?s abstractive summarization research is limited to testing the models on variou...
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Jian Liu, Bin Meng, Juan Wang, Siyu Chen, Bin Tian and Guoqing Zhi
The use of social media data provided powerful data support to reveal the spatiotemporal characteristics and mechanisms of human activity, as it integrated rich spatiotemporal and textual semantic information. However, previous research has not fully uti...
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Adindha Surya Anugraha, Hone-Jay Chu and Muhammad Zeeshan Ali
The utilization of urban land use maps can reveal the patterns of human behavior through the extraction of the socioeconomic and demographic characteristics of urban land use. Remote sensing that holds detailed and abundant information on spectral, textu...
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Companies have realized the importance of “big data” in creating a sustainable competitive advantage, and user-generated content (UGC) represents one of big data’s most important sources. From blogs to social media and online reviews, c...
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Ainhoa Serna, Jon Kepa Gerrikagoitia, Unai Bernabé, Tomás Ruiz
Pág. 1 - 8
Urban transport became an important element in the promotion of strategies towards sustainability, in fact one of the challenges posed by booming urban populations is the question of mobility. Traditional travel survey methods used to study urban mobilit...
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Jai Prakash Verma, Shir Bhargav, Madhuri Bhavsar, Pronaya Bhattacharya, Ali Bostani, Subrata Chowdhury, Julian Webber and Abolfazl Mehbodniya
The recent advancements in big data and natural language processing (NLP) have necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous textual data. Text summarization (TS) acts as an essential pillar within recommendat...
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klaus Solberg Söilen
It is often heard, and even more often seen written, for example on social media, that that there is nothing new in the competitive intelligence (CI) field. There are no new ideas, the ideas that are being expressed are the same old, there is no developm...
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