’14 COM Web Mining

Department of Communication PhD Student Workshop Web Mining for Communication Research April 22-25, 2014, Room M5064

Workshop Schedule

Date/Time	Topic	Speaker	Hands-on Tutorial/Software	Materials
22-4 2-3pm	Introduction to Web Mining	Jonathan Zhu	–	Slides
22-4 3-6pm	Web Data Collection	Hai Liang	Hai Liang/NodeXL, VWR, API, Scraping	Slides
23-4 2-5pm	Web Data Preprocessing	Zhenzhen Wang	Zhenzhen Wang/Xerox (online), SPSS, R, Python	Slides Data
24-4 2-5pm	Web Data Analysis	Chengjun Wang	Hai Liang/SPSS, NodeXL, R (optional)	Slides Data Rscripts Instruction
25-4 2-5pm	Web Data Visualization	Jie Qin	Hexin Chen/Wordle, HTML5 Word Cloud, Voyant Tools/ NodeXL, Google Fusion Tables/ Google Charts	Slides Data Instruction
25-4 5-6pm	Social Issues in Web Mining	Marko Skoric	–	Slides

Name	Position
Marko Skoric	Faculty
Jonathan Zhu	Faculty
Jiang Crystal	Faculty
Fen Lin	Faculty
Fei Shen	Faculty
Chen Qiang	PhD student (HUST)
Cao Qian	PhD student (year 1)
Zeng Yuan	PhD student (year 1)
Xia Chuanli	PhD student (year 1)
Liu Bingjie	PhD student (year 1)
Madrid-Morales Dani	PhD student (year 1)
Scialpi Valentina	PhD student (year 1)
Li Boliang	PhD student (year 1)
Cao Bolin	PhD student (year 2)
Chen Hexin	PhD student (year 2)
Gong Wanqi	PhD student (year 2)
Chen Chujie	PhD student (year 3)
Jiang Yalong	PhD student (year 3)
Liu Na	PhD student (year 3)
Yan Jing	PhD student (year 4)
Ho Jeffrey	PhD student (year 4)
Qin Jie	PhD student (year 4)
Liang Hai	PhD student (year 4)
Wang Zhenzhen	PhD student (year 4)
Wang Chengjun	PhD student (year 4)
An Shanshan	Young scholar (Liaoning U)
Wu Ying	Young scholar (Shanghai Intl Studies U)
Deng Lifeng	Young scholar (Sun Yat-San U)
Yang Man	Young scholar (Wuhan U)
CHEN Yuanyuan	Young scholar (Hubei Economic U)
Wu Jing	Young scholar (Fudan U)
Huang Yueqin	Young scholar (Hubei U)
Tang Sihui	Visiting fellow (South China U of Tech)
Yang Huixiong	Visiting fellow (Fujian Normal U)

1.1. Basic — 1.1.1. C. Hanretty (2013). Scraping the web for arts and humanities, U of East Anglia. — 1.1.2. E.R. Tufte (2001/1983), The visual display of quantitative information, Graphics Press. — 1.1.3. I. Feinerer (2013). Text mining in R. — 1.1.4. B. Grun (2011). R package for topic models. 1.2. Advanced — 1.2.1. C. Manning (2008). Introduction to information retrieval. Cambridge University Press. — 1.2.2. M. A. Russell (2013). Mining the social web. O’Reilly. 1.3. Examples — 1.3.1. Zhu, et al. (2011), Social Science Computer Review, 29, 327-339. (sampling) — 1.3.2. Peng, et al. (2013), New Media & Society, 15, 644-664. (science literature) — 1.3.3. Wang, et al. (2013), Cyberpsychology, Behavior and Social Networks, 16, 679-685. (Twitter) — 1.3.4. Xu, et al. (2013), IEEE Transactions on Visualization and Computer Graphics, 19, 2012-2021. (visualization) — 1.3.5. Liang. (2014), Social Science Computer Review. (online forums)

2.1. Data Collection — 2.1.1. NodeXL: Network overview, discovery and exploration for Excel — 2.1.2. Visual Web Ripper: Extract data from the Web — 2.1.3. Python API and JSON — 2.1.4. Web scraping with Beautiful soup 2.2. Data PreProcessing — 2.2.1. SPSS — 2.2.2. Python NLTK — 2.2.3. R tm — 2.2.4. R e1071 — 2.2.5. R topicmodels 2.3. Data Analysis — 2.3.1. R & Rstudio — 2.3.2. Network analysis with igraph package in R — 2.3.3. Survival analysis with survival package in R — 2.3.4. Sentiment analysis with sentiment package in R — 2.3.5. Naive Bayes analysis with e1071 package in R — 2.3.6. Text mining with RTextTools in R — 2.3.7. Decision trees with Rpart and rattle in R 2.4. Data Visualization — 2.4.1. Wordle — 2.4.2. HTML5 word cloud — 2.4.3. Voyant Tools — 2.4.4. NodeXL — 2.4.5. Google Fusion Tables — 2.4.6. Google Charts