Social media mining is “the process of representing, analyzing, and extracting actionable patterns from social media data.” 3 In simpler terms, social media mining occurs when a company or organization collects data about social media … Social Media Optimization. Different statistical analyses were performed on the collected data. For the purposes of this review, we considered three major world languages: Spanish, Italian, and Chinese. Facebook and attempts to find interesting knowledge from such data and represent that knowledge in different forms. We utilized experimental design for the optimization of process, Recently, the usage of social media websites has become an attractive phenomenon in our daily life. Customer reviews in the Apple Store application of these companies were provided. Both of them connected same system.In this system the staff have been classified to be full time or part time. This study aims at analyzing textual data from Facebook and attempts to find interesting knowledge from such data and represent it in different forms. Private: Designing Experiments: 3 Level Full Factorial Design and Variation of Processing Parameters... Mining Text in News Channels: A Case Study from Facebook, Using Text Mining Techniques for Extracting Information from Research Articles. In this study, we have investigated the credit card-holder’s behavior in order to predict the market segmentation. for understanding students’ learning experiences. This may prompt various sorts of ambiguities, for example, lexical, syntactic, and semantic, which makes it difficult to analyse and extract data patterns from such datasets. Credit cards have become an essential element in the banking industry. Improve both basic and advanced NLP tasks To do so, we propose Set of Frequent Word Item sets (SFWI) as text representation which is considered match for Indonesian slang. In particular, social media are increasingly used in political context. Arabic language along with its parsing techniques is demonstrated. 9. Author(s): Gabor Szabo; Gungor Polatkan; Oscar Boykin; Antonios Chalkiopoulos; First published: 21 September 2018. Furthermore, findings showed that there was a booming increase in the number of published articles during the years 2015 through 2016. The, consequently enabled to categorize a large dataset int, comments from the Facebook all are emphasized by the author. It, Special Issue on Computer Systems, Informa, references in academic writing and hyperlinks in the Web writing, include “Text mining with social media”, “Text mining with, about the text mining field. These sites allow their users to communicate with each other through various tools. Despite the important number of Arabic speakers and Internet users, studies in Arabic sentiment analysis still insufficient. The main functionality of data mining … Furthermore, we also demonstrate variations of the processing variables while other parameters remained constant (General Trends). <>/ExtGState<>/XObject<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI] >>/Annots[ 18 0 R 19 0 R 20 0 R 21 0 R 22 0 R 23 0 R] /MediaBox[ 0 0 595.32 841.92] /Contents 4 0 R/Group<>/Tabs/S>> These thoughts can be harnessed for extraction of sentiments of people, Indonesian slang are commonly used in social media. This led to considering the research question to be about the viability of the creation or utilization of a gold-standard clinical corpus in a language other than English and how it can contribute in performing a complex clinical language mining task. Since personality theory claims that a user's personality substantially influences preference, I propose a personality-based product recommender (PBPR) framework to analyze social media data in order to predict a user's personality and to subsequently derive its personality-based product preferences. The selection of the collected articles was based on the criteria that all these articles should incorporate mobile learning as the main component in the higher educational context. Users create the content, communicate with each other, and ultimately keep the service alive and growing. Text mining has become one of the trendy fields that has been incorporated in several research fields such as computational linguistics, Information Retrieval (IR) and data mining. Finally, sentiment values from users in different time periods were selected as original data matrix, using the fuzzy clustering algorithm. Nowadays, Facebook is a very popular social communication media. * Brings together recent research and techniques from academia and industry The present study demonstrates a comprehensive overview about text mining and its current research status. data that has been exposed by their employees on LinkedIn, leadership roles can be identified within the organization and, organization can be the knowledge about the network of informal, features, and then they can be used as decision-making tools. The implementations reviewed in these languages considered varying approaches to overcome complexities in biomedical NLP in these languages. Internet becomes more and more an important need in our daily life. Researchers in the field managed to synthesize gold-standard corpora in many domains and for varying tasks, assisted by domain experts and linguists. AI multi-modal fusion has significant potential for the mixture of other data modalities as well. © Advances in Science, Technology and Engineering Systems. Other related studies, perception of its products in the market without having to consult, specially designed computational systems is a shared objective of. From this analysis, vulnerable relationship between parents and their teenage children have been noticed. The automation of the power system ensures to support the restoration, fault diagnosis, management, and network security. Both strategies generated process parameters that were statistically significant. Here, age limits of targeted teen agers are between 16 and 18. Moreover, results revealed that most of the people are highly interested in sharing the news of Mohammed Ali Clay through all the news channels. In this paper, using micro-blog information with affective computing, governments, businesses, or enterprises can get different classification results according to the different needs and take the appropriate measures. On the other hand, these comments were analysed by data mining method using KNIME program. The social networking sites like twitter and facebook provides to people in general the effective platform for expression of their thoughts and ideas. Mo, concept of data mining [39]. More specifically, our framework summarizes different politically relevant analyses from the perspective of political institutions and according scientific methodologies that could be applied to analyze political communication in social media. The wealth of information buried in free-text electronic documents in healthcare systems presents itself as a leading contender for NLP applications. In the twenty-first century, Artificial Intelligence has become one of the most advanced technologies employed in various sectors [1][2][3][4][5][6][7][8][9]. social engagement. Scholars of [40, situations. This is due to the huge efforts of Natural Language Processing (NLP) techniques, Develop linguistic resources The key is its understanding of language, meaning and context. In this paper we suggest an approach to analyze the sentiment of the text available on social media. While Twitter is an ideal platform for users to spread not only information in general but also political opinions publicly through their networks, political institutions (e.g., politicians, political parties, political foundations, etc.) publish in high quality and reputed journals/conferences, Abstract—In this study a new system has been created to be as simulation for Buraimi University College (BUC) and Human Resourses (HR) system. Similar results were delivered by, obtained from around 25,000 tweets that were associated with. In this context, airlines need to offer different services in the online application in order to increase customer satisfaction. A web sentiment analysis method on, Zhang, J. Q., Craciun, G., & Shin, D. (2010). Social networking sites are a great source of communication as most of the people in today's world use these sites in their daily lives to keep connected to each other. From our study of the literature, we found that resources in Arabic languages are sparse, and the most of those available is related to movie reviews which is different to our domain i.e. * Extensive bibliography of all references, including websites Properly and is matcthing the BUC regulation in particular, social media,..., client queries and the, consequently enabled to categorize a large dataset int, from. 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