{"id":3824,"date":"2024-09-13T13:46:41","date_gmt":"2024-09-13T13:46:41","guid":{"rendered":"https:\/\/www.canbekcan.com\/en\/?page_id=3824"},"modified":"2024-09-13T13:46:41","modified_gmt":"2024-09-13T13:46:41","slug":"social-media-data-mining","status":"publish","type":"page","link":"https:\/\/canbekcan.com\/en\/courses\/social-media-data-mining\/","title":{"rendered":"Social Media Data Mining"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_section css=&#8221;.vc_custom_1599166519090{padding: 20px !important;background-color: #474747 !important;}&#8221;][vc_row css=&#8221;.vc_custom_1599166540648{margin: 20px !important;padding: 20px !important;}&#8221;][vc_column width=&#8221;1\/6&#8243;][\/vc_column][vc_column width=&#8221;5\/6&#8243;][vc_custom_heading source=&#8221;post_title&#8221; font_container=&#8221;tag:h1|text_align:left|color:%23ffffff&#8221;][vc_custom_heading text=&#8221;Eastern Mediterranean University Faculty of Communication and Media Studies Department of New Media and Communication&#8221; font_container=&#8221;tag:h3|text_align:left|color:%23ffffff&#8221; google_fonts=&#8221;font_family:Noto%20Serif%3Aregular%2Citalic%2C700%2C700italic|font_style:400%20regular%3A400%3Anormal&#8221; css=&#8221;&#8221;][\/vc_column][\/vc_row][\/vc_section][vc_section css=&#8221;.vc_custom_1629930119858{margin: 0px !important;padding: 0px !important;background-color: #cccccc !important;}&#8221;][vc_row css=&#8221;.vc_custom_1726987499944{padding-top: 5px !important;padding-right: 20px !important;padding-bottom: 2px !important;padding-left: 20px !important;}&#8221;][vc_column width=&#8221;1\/4&#8243;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;Course Outline&#8221; font_container=&#8221;tag:h4|text_align:center&#8221; google_fonts=&#8221;font_family:Noto%20Serif%3Aregular%2Citalic%2C700%2C700italic|font_style:400%20regular%3A400%3Anormal&#8221;][\/vc_column][vc_column width=&#8221;1\/4&#8243;][\/vc_column][\/vc_row][\/vc_section][vc_row css=&#8221;.vc_custom_1678097533351{margin-top: 60px !important;padding-right: 60px !important;padding-left: 60px !important;}&#8221;][vc_column][vc_row_inner][vc_column_inner][\/vc_column_inner][\/vc_row_inner][vc_column_text css=&#8221;&#8221;]The course will provide an overview of the fundamental concepts related to data sources, data storage methods, data organisation, and processes involved in the analysis of large data sets. It will also address the ethical considerations associated with big data analytics. Additionally, it will equip students with practical skills in data scraping, organisation, processing, and interpretation, with a focus on their application in field studies.[\/vc_column_text][vc_text_separator title=&#8221;Course Completion Requirements&#8221; title_align=&#8221;separator_align_left&#8221; color=&#8221;custom&#8221; accent_color=&#8221;#cc0000&#8243; el_class=&#8221;h4&#8243;][vc_column_text css=&#8221;&#8221;]The course will examine the nature of data, the methods of its storage and cleansing, and the design of data transfer systems that facilitate meaningful data output. It will also integrate theoretical and practical studies of data processing.[\/vc_column_text][vc_text_separator title=&#8221;Exams and Projects&#8221; title_align=&#8221;separator_align_left&#8221; color=&#8221;custom&#8221; accent_color=&#8221;#cc0000&#8243; el_class=&#8221;h4&#8243;][vc_column_text css=&#8221;&#8221;]A practice exam, midterm and final project will be applied within the scope of the course.<\/p>\n<ul>\n<li>Practices <strong>%35<\/strong><\/li>\n<li>Midterm project\u00a0<strong>%15<\/strong><\/li>\n<li>Final project\u00a0<strong>%50<\/strong><\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_text_separator title=&#8221;Format of the Lesson&#8221; title_align=&#8221;separator_align_left&#8221; color=&#8221;custom&#8221; accent_color=&#8221;#cc0000&#8243; el_class=&#8221;h4&#8243;][vc_column_text css=&#8221;&#8221;]A teaching methodology based on practice and project work will be employed. The practices have been designed to facilitate the preparation for projects, thereby facilitating the practical comprehension of the theoretical information presented.[\/vc_column_text][vc_text_separator title=&#8221;Course Outcomes&#8221; title_align=&#8221;separator_align_left&#8221; color=&#8221;custom&#8221; accent_color=&#8221;#cc0000&#8243; el_class=&#8221;h4&#8243;][vc_column_text css=&#8221;&#8221;]Upon completion of the course, students will possess a comprehensive understanding of the fundamental concepts related to data, including its definition, sources, acquisition methods, storage, and processing techniques to generate meaningful insights. Additionally, they will develop the ability to interpret data from diverse fields of study.[\/vc_column_text][vc_text_separator title=&#8221;Important Notes&#8221; title_align=&#8221;separator_align_left&#8221; color=&#8221;custom&#8221; accent_color=&#8221;#cc0000&#8243; el_class=&#8221;h4&#8243;][vc_column_text css=&#8221;&#8221;]It should be noted that students who do not attend a minimum of two practical courses and plagiarise will be deemed to have failed the course, despite having received a passing grade.[\/vc_column_text][vc_text_separator title=&#8221;Useful Links&#8221; title_align=&#8221;separator_align_left&#8221; color=&#8221;custom&#8221; css=&#8221;&#8221; accent_color=&#8221;#cc0000&#8243; el_class=&#8221;h4&#8243;][vc_column_text css=&#8221;&#8221;]Data Visualization: <a href=\"https:\/\/flourish.studio\/\">Flourish Studio<\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1678097565895{margin-top: 60px !important;padding-right: 60px !important;padding-left: 60px !important;}&#8221;][vc_column][vc_custom_heading text=&#8221;Weekly Courses Content&#8221; font_container=&#8221;tag:h2|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221;][vc_separator][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;1. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Social Media and Data Mining Introduction[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Kaplan, A. M., &amp; Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;2. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Introduction to Data Mining Techniques[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Han, J., Pei, J., &amp; Kamber, M. (2011). Data Mining: Concepts and Techniques (Chapter 1-2).[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;3. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Social Media Data Structures[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Gundecha, P., &amp; Liu, H. (2012). Mining social media: A brief introduction. INFORMS Journal on Computing.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;4. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Web Scraping Techniques[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Mitchell, R. (2015). Web Scraping with Python. O&#8217;Reilly Media.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;5. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Big Data and Social Media[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Zikopoulos, P., &amp; Eaton, C. (2011). Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;6. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Text Mining[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Aggarwal, C. C., &amp; Zhai, C. (2012). Mining Text Data. Springer. (Chapter 3-4)[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;7. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Emotion Analysis[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Pang, B., &amp; Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645563219967{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;background-color: #dddddd !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;8 &#8211; 9. Weeks&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;3\/4&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3><strong>Midterms<\/strong><\/h3>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;10. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Social Network Analysis[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Scott, J. (2017). Social Network Analysis. Sage Publications. (Chapter 2-3)[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;11. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Visual Content Mining[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Datta, R., Joshi, D., Li, J., &amp; Wang, J. Z. (2008). Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;12. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Data Privacy and Ethics[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Boyd, D., &amp; Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication &amp; Society.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645539899766{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;13. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]Social Media Marketing Strategies[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;&#8221;]Tuten, T. L., &amp; Solomon, M. R. (2017). Social Media Marketing. Sage Publications.<\/p>\n<p>Elmazi, L., &amp; G\u00fcnay, A. (2019). Big data-driven marketing: A new frontier. Journal of Marketing Analytics.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=&#8221;yes&#8221; content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1645564187067{margin-bottom: 5px !important;border-top-width: 0.5px !important;border-right-width: 0.5px !important;border-bottom-width: 0.5px !important;border-left-width: 0.5px !important;padding-top: 10px !important;padding-right: 10px !important;padding-bottom: 0px !important;padding-left: 10px !important;background-color: #dddddd !important;border-left-color: #000000 !important;border-left-style: solid !important;border-right-color: #000000 !important;border-right-style: solid !important;border-top-color: #000000 !important;border-top-style: solid !important;border-bottom-color: #000000 !important;border-bottom-style: solid !important;}&#8221;][vc_column_inner width=&#8221;1\/4&#8243;][vc_custom_heading text=&#8221;14. Week&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;3\/4&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3><strong>Finals<\/strong><\/h3>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_section css=&#8221;.vc_custom_1678097589216{margin-top: 60px !important;padding-right: 60px !important;padding-left: 60px !important;}&#8221;][vc_row][vc_column][vc_custom_heading text=&#8221;Detailed Grades&#8221; font_container=&#8221;tag:h2|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221;][vc_separator][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1645537380164{padding-top: 20px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;}&#8221;][vc_column width=&#8221;1\/3&#8243;][vc_custom_heading text=&#8221;Practices&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221;]<h4 class=\"fac-title text-center\" style=\"color:#4b4b4b\">%35<\/h4>\n[vc_column_text css=&#8221;&#8221;]It includes the projects given in the course as homework within the scope of data processing. A total of <strong>5 projects<\/strong> will be graded with <strong>7 points<\/strong> <span style=\"text-decoration: underline\">each<\/span>.[\/vc_column_text][vc_text_separator title=&#8221;Practices&#8221; css=&#8221;&#8221;][vc_column_text css=&#8221;&#8221;]<\/p>\n<ul>\n<li><a href=\"https:\/\/canbekcan.com\/en\/wp-content\/uploads\/sites\/2\/2024\/10\/Family-Tree.xlsx\" target=\"_blank\" rel=\"noopener\">Genealogy Preparation<\/a><\/li>\n<li><a href=\"https:\/\/canbekcan.com\/en\/wp-content\/uploads\/sites\/2\/2024\/10\/raw-data-clear.xlsx\">Preparation of Existing Data<\/a> (You need to clear data)<\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/scl\/fi\/7p3md65b5kslo25wayon6\/Project-File.docx?rlkey=i7szdh3azm9ip0apvrjxbqk0j&amp;dl=0\">Project Topic Determination<\/a><\/li>\n<li>Python Usage and Data Cleaning<\/li>\n<li>Python &#8211; Social Media Scanning<\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_text_separator title=&#8221;Evaluation Criteria&#8221; css=&#8221;&#8221;][vc_column_text css=&#8221;&#8221;]<\/p>\n<ul>\n<li>Data input<\/li>\n<li>Data extraction<\/li>\n<li>Visualisation<\/li>\n<li>Content generation<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_custom_heading text=&#8221;Midterm Project&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221;]<h4 class=\"fac-title text-center\" style=\"color:#4b4b4b\">%15<\/h4>\n[vc_column_text css=&#8221;&#8221;]Processing the appropriate data for the project file prepared on the determined topics and producing content with this information.[\/vc_column_text][vc_text_separator title=&#8221;Evaluation Criteria&#8221;][vc_column_text css=&#8221;&#8221;]<\/p>\n<ul>\n<li>Project file<\/li>\n<li>Data file<\/li>\n<li>Content file<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_custom_heading text=&#8221;Final Project&#8221; font_container=&#8221;tag:h3|text_align:center&#8221; use_theme_fonts=&#8221;yes&#8221;]<h4 class=\"fac-title text-center\" style=\"color:#4b4b4b\">%50<\/h4>\n[vc_column_text css=&#8221;&#8221;]The final project consists of <strong>2 projects<\/strong>. The projects will be done within the framework of the topics covered in the course, 1 by using ready-made data and 1 by collecting and organising data. Content will be produced based on the data from these 2 projects.[\/vc_column_text][vc_text_separator title=&#8221;Evaluation Criteria&#8221;][vc_column_text css=&#8221;&#8221;]<\/p>\n<ul>\n<li>Data collection<\/li>\n<li>Data cleansing<\/li>\n<li>Visualization of data<\/li>\n<li>Content production from the resulting data<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][\/vc_section][vc_row content_placement=&#8221;middle&#8221; css=&#8221;.vc_custom_1678097619074{margin-top: 60px !important;padding-right: 60px !important;padding-left: 60px !important;}&#8221;][vc_column][vc_btn title=&#8221;Class Notes&#8221; style=&#8221;flat&#8221; shape=&#8221;square&#8221; color=&#8221;mulled-wine&#8221; align=&#8221;right&#8221; i_align=&#8221;right&#8221; i_type=&#8221;typicons&#8221; i_icon_typicons=&#8221;typcn typcn-arrow-right-thick&#8221; css=&#8221;&#8221; add_icon=&#8221;true&#8221; link=&#8221;url:https%3A%2F%2Fwww.canbekcan.com%2Fen%2Fcourses%2Fsocial-media-data-mining%2Fsocial-media-data-mining-class-notes%2F|title:Social%20Media%20Data%20Mining%20%E2%80%93%20Class%20Notes|target:_blank&#8221;][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_section css=&#8221;.vc_custom_1599166519090{padding: 20px !important;background-color: #474747 !important;}&#8221;][vc_row css=&#8221;.vc_custom_1599166540648{margin: 20px !important;padding: 20px !important;}&#8221;][vc_column width=&#8221;1\/6&#8243;][\/vc_column][vc_column width=&#8221;5\/6&#8243;][vc_custom_heading source=&#8221;post_title&#8221; font_container=&#8221;tag:h1|text_align:left|color:%23ffffff&#8221;][vc_custom_heading text=&#8221;Eastern Mediterranean University Faculty of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3832,"parent":951,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-pagebuilder.php","meta":{"footnotes":""},"class_list":["post-3824","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/canbekcan.com\/en\/wp-json\/wp\/v2\/pages\/3824","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/canbekcan.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/canbekcan.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/canbekcan.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/canbekcan.com\/en\/wp-json\/wp\/v2\/comments?post=3824"}],"version-history":[{"count":0,"href":"https:\/\/canbekcan.com\/en\/wp-json\/wp\/v2\/pages\/3824\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/canbekcan.com\/en\/wp-json\/wp\/v2\/pages\/951"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/canbekcan.com\/en\/wp-json\/wp\/v2\/media\/3832"}],"wp:attachment":[{"href":"https:\/\/canbekcan.com\/en\/wp-json\/wp\/v2\/media?parent=3824"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}