تجزیه و تحلیل جمعیت شناسی کاربران توییتر که تحلیل توییت ها را ارسال کرده اند
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تجزیه و تحلیل جمعیت شناسی کاربران توییتر که تحلیل توییت ها را ارسال کرده اند

عنوان فارسی مقاله: تجزیه و تحلیل جمعیت شناسی کاربران توییتر که مقالات روانشناختی و تحلیل توییت ها را ارسال کرده اند
عنوان انگلیسی مقاله: Demographics Analysis of Twitter Users who Tweeted on Psychological Articles and Tweets Analysis
مجله/کنفرانس: پروسدیای علوم کامپیوتر - Procedia Computer Science
رشته های تحصیلی مرتبط: مهندسی کامپیوتر، مهندسی فناوری اطلاعات، روانشناسی
گرایش های تحصیلی مرتبط: برنامه نویسی کامپیوتر، مهندسی نرم افزار، اینترنت و شبکه های گسترده، شبکه های کامپیوتری، روانشناسی صنعتی و سازمانی
کلمات کلیدی فارسی: روانشناسی، توییتر، پایتون، وب اسکرپینگ، Rapid Miner، متن کاوی، ماشین بردار پشتیبانی
کلمات کلیدی انگلیسی: Psychology، Twitter، Python، Web scraping، Rapid Miner، Text mining، Support Vector Machine
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.procs.2018.10.509
دانشگاه: Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
ناشر: الزویر - Elsevier
نوع ارائه مقاله: کنفرانس
نوع مقاله: ISI
سال انتشار مقاله: 2018
ایمپکت فاکتور: 1/013 در سال 2017
شاخص H_index: 34 در سال 2019
شاخص SJR: 0/258 در سال 2017
شناسه ISSN: 1877-0509
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 9
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E11184
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Literature Review


3- Data Collection Through Web Scraping


4- Model Creation for Labeling


5- Analysis of User Profiles and Tweets


6- Conclusion


References

نمونه متن انگلیسی مقاله

Abstract


This project is focused on exploring the appealing trends in the profiles of different users, with respect to different aspects of the user demographics which includes gender, whether the user is an individual or an organization, psychological and their academic background, who had discussed psychological articles on Twitter. To perform this task we retrieved the details of psychological articles, related tweets and twitter user details by web scraping using python. Then to assign suitable labels, we have used the Rapid Miner to create a model using training data. After the labeling process, we have analyzed the patterns in user profiles. Further, the tweet contents were analyzed focusing on the psychological topics more discussed by the users. This analysis will give the insight to psychological researchers, what topics are being discussed by the Twitter users and what are trending topics among Academic communities and Nonacademic Communities.


Introduction


The introduction of social media is one of the significant events in this modern era to create a huge impact on our lives. These social networks are very widespread in this decade since this internet enabled services such as smart phones, tablets, and personal computers. Nowadays users use social media to share information and thoughts with each other. This paves way for a large amount of data to be shared on social media. In short communication content such as tweets was important to study as it was believed to have an effect on the society. According to Riff, Lacy, and Fico, social affiliations such as family and community involvement were important predictors of peoples attitudes and behaviors, and a network of personal influence was identified as key factors influencing their decisions.[1, 2] In the academic community, some individuals use these tweets as a medium to announce their publications of new articles and to cite those articles in the tweets. Due to the big data associated with these social media, its not possible for us to apply similar approaches used in traditional ways available in research evaluation to analyze about the impacts of research articles in the society. Hence, tools such as Altmetrics play an important role in analyzing research impact based on social media activities.[3] Altmetrics measures the impact of the social and academic use of research in different fields. It includes academic comments, citation and reuse and social media components such as tweets, shares, as well as ratings. Further, this is defined broadly and offers a variety of avenues to get a complete idea of measuring the research impact. The metrics of research aim to quantify the significance of research such as how many highly cited papers an author has produced, how many publications of articles in heavily cited journals and how many times the article has been cited. Metrics are an attempt to provide researchers a direct response to the value of work. Psychology field is selected for this project as this field was having a higher citation rate and one of the top Altmetrics coverage when compared with other disciplines.

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