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Aposentu: A Social Semantic Platform for Hotels

Gavina Baralla, Simona Ibba, Riccardo Zenoni
2017 Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
The platform will be cloud computing technology based and it will show a proper dashboard with a lot of innovative functionalities.  ...  By using semantic tools, sentiment analysis, complex network metrics, the platform will allow the hoteliers to become more competitive in the tourism industry.  ...  The system will consist of four components: • a social semantic tool to organize tourist and accommodation terminology in a semantic way; • a contextual advertising module connected with social networks  ... 
doi:10.5220/0006511702690274 dblp:conf/ic3k/BarallaIZ17 fatcat:wn5nizn4ifeo7ptgfuspwkpaji

Comparison of Recommendation Using Social Network Analysis with Collaborative Filtering in Social Network Sites
SNS에서 사회연결망 기반 추천과 협업필터링 기반 추천의 비교

Sangun Park
2014 Journal of the Korea society of IT services  
논문투고일:2014년 03월 24일 논문수정완료일:2014년 05월 26일 논문게재확정일:2014년 05월 29일 As social network services has become one of the most successful web-based business, recommendation in social network sites that assist people  ...  It is expected that graph-based analysis on the semantic social network and systematic comparative analysis on the performances of social filtering and collaborative filtering are required.  ...  Introduction Social network services has become one of the most successful web-based business, and there are hundreds of social network sites (SNSs) supporting a wide range of interests.  ... 
doi:10.9716/kits.2014.13.2.173 fatcat:djbo2phtxfgp7nysyucsp4lafm

Towards Social Networks Integrated Domain-Specific Business Directories: A Design Science Approach

Atia B. Memon, Arifa Bhutto, Kirshan K. Luhana, Altaf H. Abro, Kyrill Meyer
2021 Quaid-e-awam University research journal of engineering science & technology  
As a result, we propose designing domain specific business directories while simultaneously integrating them with the business pages hosted on existing social networking sites.  ...  This research work relates to the paradigm of business pages hosted on social networking sites, as they are increasingly gaining attention among business organizations as a potential source of their community  ...  business pages hosted on social networking sites [2] .  ... 
doi:10.52584/qrj.1901.04 fatcat:m73fzfipzfg4dgsjao7n4wyxqi

A PRIORITY BASED TEXT ENCODING METHOD FOR USER PRIVACY PRESERVATION INSOCIAL STREAMS

M.Vijaya Maheswari
2017 International Journal of Advanced Research in Computer Science  
privacy of individual data or sensitive knowledge of the users of the social networks without sacrificing the utility of the data.Priority based text encoding technique will improves the security of personal  ...  Social Networks will generate large number of text records in different formats which contains both personnel and other textual information.Privacy preservation in data mining deals with protecting the  ...  through social sites which attracted the marketers to extend their business through the online social sites [3] .  ... 
doi:10.26483/ijarcs.v8i8.4842 fatcat:hz564z45knbxrghz57o4bp3usu

The Road to Emotion Mining in Social Network

Hany Mohamed, Ayman Ezzat, Mostafa Sami
2015 International Journal of Computer Applications  
As a result, a lot of researchers are done for detecting what humans feel now in social network; they fall under the scope of topic called emotion mining, opinion mining, or sentiment analysis.  ...  In this paper, we will survey the development done for emotion mining with a comparative study for different approaches.  ...  and management, exploiting social graphs, Identity algorithms, Mobile social networks given node, Social ranking and opinion sites, Business and social networking, Architectures for open and federated  ... 
doi:10.5120/ijca2015905779 fatcat:oqdev253irhmnoevoyfi4pvxxy

Enhanced Classification Framework

Mr. Chandrashekhar Bora
2017 International Journal for Research in Applied Science and Engineering Technology  
In this paper, we expound a hybrid approach using both quantity based and dictionary based methods to determine the semantic alignment of the opinion words in tweets.  ...  We propose and investigate a model to mine the sentiment from a popular real-time micro blogging service, Social networking sites, where users post real time reactions to and opinions about "everything  ...  CONCLUSIONS The work presented in this paper specifies a novel approach for sentiment analysis on Social networking sites data.  ... 
doi:10.22214/ijraset.2017.11107 fatcat:phfhxwkou5hade5ivjrp7d5uuu

A Machine Learning Approach to Extract Opinions from Social Media Content

Salina Adinarayana, E Ilavarasan
2018 International Journal of Engineering & Technology  
The Opinion Mining (OM) from mobile based social media content (SMC) is more challenging compared to topic-based mining, and it cannot be performed based on just examining the presence of single words  ...  The proposed machine learning approach extends the feature-based classification approach to identify the orientation of the phrase on taking context into account to improve the accuracy.  ...  The main problem of comments shared in the social network (social networking sites, blogs, micro-blogs, social book-marking and tagging) are often implicit and not explicitly stated by specific phrases  ... 
doi:10.14419/ijet.v7i4.5.20080 fatcat:k5cdq6thdbalbkdyenk6e75fom

Exploring Wikipedia and DMoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications [chapter]

Mandar Haridas, Doina Caragea
2009 Lecture Notes in Computer Science  
A global ontology over the interests specified by the users of a social network is essential for accurate recommendations.  ...  More precisely, the first approach uses Wikipedia to find interest definitions, the latent semantic analysis technique to measure the similarity between interests based on their definitions, and an agglomerative  ...  Hsu and the KDD group at K-State for sharing their LifeJournal data with us.  ... 
doi:10.1007/978-3-642-05151-7_35 fatcat:ybs2bxhqyjgj3bs7bwsx7p32oe

A Machine Learning-based Online Social Network Analysis for 360-degree User Profiling

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The work considers one of the famous social networking sites, Twitter, where people express their thoughts and ideas, through which the people in the site knowingly or unknowingly reveal the information  ...  This paper aims to analyse the online social network for reconnaissance of people for finding their potentiality.  ...  Twitter is a famous social networking micro blogging site and potential market for the businesses [5] .  ... 
doi:10.35940/ijitee.b1103.1292s219 fatcat:wl5yi7kor5ccdphbgazlrpjppi

Text Analytics in Social Media [chapter]

Xia Hu, Huan Liu
2012 Mining Text Data  
We next discuss the research progress of applying text analytics in social media from different perspectives, and show how to improve existing approaches to text representation in social media, using real-world  ...  In this chapter, we first introduce the background of traditional text analytics and the distinct aspects of textual data in social media.  ...  Besides, in blogging sites, the users post frequently and create a huge number of textual / text-based data; in social bookmarking sites, users share with each other tags and URLs.  ... 
doi:10.1007/978-1-4614-3223-4_12 fatcat:ynmfabrhpjf6vils663o3rs2za

Sentiment and Emotion Analysis for Context Sensitive Information Retrieval of Social Networking Sites: A Survey

D. I.GeorgeAmalarethinam, V. Jude Nirmal
2014 International Journal of Computer Applications  
This paper presents a comprehensive survey of the existing techniques for big data analysis based on massively parallel processing techniques like GPGPUs (CUDA), Hadoop Map-Reduce and also Data Warehousing  ...  Also this paper provides research directions for context sensitive information retrieval and sentiment analysis in big data based on massively parallel processing architecture.  ...  Social Networking based Sentiment Analysis The effect of social networking using LinkedIn, the business based networking site is discussed by Bradbury et al [12] .  ... 
doi:10.5120/17565-8194 fatcat:hylpsotytrgbhmcsipz4tdg2sa

Mining Scholarly Semantic Networks from the Web

Mizuki Oka, Yutaka Matsuo
2008 2008 12th International Conference Information Visualisation  
Our research project is designed to construct a scholarly semantic network from publicly available data that will be useful for researchers, business people in industry, and public servants in governmental  ...  In this paper, we propose a practical architecture to construct a scholarly semantic network that integrates different scholarly entities such as researchers, papers, and keywords by taking into consideration  ...  POLYPHONET: Conference Support System POLYPHONET 9 is a Web-based system for an academic community to facilitate communication and mutual understanding based on a social network extracted from the Web.  ... 
doi:10.1109/iv.2008.74 dblp:conf/iv/OkaM08 fatcat:wyu4qqj4zra73lkjnw5jq2t6xa

Analyzing the Role of Semantic Web in Social Networking Sites

Ravi Sharma
2012 International Journal of Engineering & Technology  
study is all about role of social networks within the architecture of semantic web.  ...  Over the years, a lot of research has been done on the concept of Semantic Web, which is focused on making data machine understandable while neglecting personal information and human relationships.  ...  INTRODUCTION The semantic social networks have focused much of their attention on behaviors related to the use of social networking sites such as Facebook and Twitter.  ... 
doi:10.14419/ijet.v1i4.102 fatcat:nyc6qutijrg45iqlrbmpoow6a4

Overview of the third international workshop on search and mining user-generated contents

Ivan Cantador, José C. Cortizo, Francisco Carrero, Jose A. Troyano, Paolo Rosso, Markus Schedl
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
In this paper, we provide an overview of the 3 rd International Workshop on Search and Mining User-generated Contents, held in conjunction with the 20 th ACM International Conference on Information and  ...  to TV shows. • "Predicting Age and Gender in Online Social Networks" [5] describes a text categorization approach for the identification of age and gender in social media texts. • "A Comparative Evaluation  ...  locating tweets based on language modeling. • "Mining Tag Similarity in Folksonomies" [7] proposes a hybrid (linguistic/semantic) approach to determining similarity amongst the user-defined tags of  ... 
doi:10.1145/2063576.2064045 dblp:conf/cikm/CantadorCCTRS11 fatcat:6fudgb2ycrbhjjteiskot5xmca

Overview of the 2nd international workshop on search and mining user-generated contents

Jose Carlos Cortizo, Francisco M. Carrero, Ivan Cantador, Jose Antonio Troyano, Paolo Rosso
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
In this paper, we provide an overview of the 3 rd International Workshop on Search and Mining User-generated Contents, held in conjunction with the 20 th ACM International Conference on Information and  ...  to TV shows. • "Predicting Age and Gender in Online Social Networks" [5] describes a text categorization approach for the identification of age and gender in social media texts. • "A Comparative Evaluation  ...  locating tweets based on language modeling. • "Mining Tag Similarity in Folksonomies" [7] proposes a hybrid (linguistic/semantic) approach to determining similarity amongst the user-defined tags of  ... 
doi:10.1145/1871437.1871796 dblp:conf/cikm/CortizoCCTR10 fatcat:qu7znuaq4zduxkieoke4cakfmu
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