Kinh doanh - Marketing
Kinh tế quản lý
Biểu mẫu - Văn bản
Tài chính - Ngân hàng
Công nghệ thông tin
Tiếng anh ngoại ngữ
Kĩ thuật công nghệ
Khoa học tự nhiên
Khoa học xã hội
Văn hóa nghệ thuật
Sức khỏe - Y tế
Văn bản luật
Nông Lâm Ngư
Kỹ năng mềm
Luận văn - Báo cáo
Giải trí - Thư giãn
Tài liệu phổ thông
Văn mẫu
Giới thiệu
Đăng ký
Đăng nhập
Tìm
Danh mục
Kinh doanh - Marketing
Kinh tế quản lý
Biểu mẫu - Văn bản
Tài chính - Ngân hàng
Công nghệ thông tin
Tiếng anh ngoại ngữ
Kĩ thuật công nghệ
Khoa học tự nhiên
Khoa học xã hội
Văn hóa nghệ thuật
Y tế sức khỏe
Văn bản luật
Nông lâm ngư
Kĩ năng mềm
Luận văn - Báo cáo
Giải trí - Thư giãn
Tài liệu phổ thông
Văn mẫu
Thông tin
Điều khoản sử dụng
Quy định bảo mật
Quy chế hoạt động
Chính sách bản quyền
Giới thiệu
Đăng ký
Đăng nhập
0
Trang chủ
Luận Văn - Báo Cáo
Báo cáo khoa học
Báo cáo khoa học: "Age Prediction in Blogs: A Study of Style, Content, and Online Behavior in Pre- and Post-Social Media Generations"
Đang chuẩn bị liên kết để tải về tài liệu:
Báo cáo khoa học: "Age Prediction in Blogs: A Study of Style, Content, and Online Behavior in Pre- and Post-Social Media Generations"
Quang Thắng
65
10
pdf
Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
We investigate whether wording, stylistic choices, and online behavior can be used to predict the age category of blog authors. Our hypothesis is that significant changes in writing style distinguish pre-social media bloggers from post-social media bloggers. Through experimentation with a range of years, we found that the birth dates of students in college at the time when social media such as AIM, SMS text messaging, MySpace and Facebook first became popular, enable accurate age prediction. . | Age Prediction in Blogs A Study of Style Content and Online Behavior in Pre- and Post-Social Media Generations Sara Rosenthal Department of Computer Science Columbia University New York NY 10027 UsA sara@cs.columbia.edu Kathleen McKeown Department of Computer Science Columbia University New York NY 10027 UsA kathy@cs.columbia.edu Abstract We investigate whether wording stylistic choices and online behavior can be used to predict the age category of blog authors. Our hypothesis is that significant changes in writing style distinguish pre-social media bloggers from post-social media bloggers. Through experimentation with a range of years we found that the birth dates of students in college at the time when social media such as AIM SMS text messaging MySpace and Facebook first became popular enable accurate age prediction. We also show that internet writing characteristics are important features for age prediction but that lexical content is also needed to produce significantly more accurate results. Our best results allow for 81.57 accuracy. 1 Introduction The evolution of the internet has changed the way that people communicate. The introduction of instant messaging forums social networking and blogs has made it possible for people of every age to become authors. The users of these social media platforms have created their own form of unstructured writing that is best characterized as informal. Even how people communicate has dramatically changed with multitasking increasing and responses generated immediately. We should be able to exploit those differences to automatically determine from blog posts whether an author is part of a pre- or post-763 social media generation. This problem is called age prediction and raises two main questions Is there a point in time that proves to be a significantly better dividing line between pre and post-social media generations What features of communication most directly reveal the generation in which a blogger was born We .
TÀI LIỆU LIÊN QUAN
Báo cáo y học: "Advanced glycation end-product (AGE)-damaged IgG and IgM autoantibodies to IgG-AGE in patients with early synovitis."
Báo cáo khoa học: "Age Prediction in Blogs: A Study of Style, Content, and Online Behavior in Pre- and Post-Social Media Generations"
Báo cáo nghiên cứu khoa học: "Analysis of Early-age cracking in restrained ring specimens of high performance concrete using finite element method"
báo cáo khoa học: " Polymorphisms in the SULF1 gene are associated with early age of onset and survival of ovarian cancer"
Báo cáo khoa học: "Follow-up of newborns treated with extracorporeal membrane oxygenation: a nationwide evaluation at 5 years of age"
Báo cáo khoa hoc:" Multiple dosing strategies with acetyl L-carnitine (ALCAR) fail to alter age-related hearing loss in the Fischer 344/NHsd rat"
Báo cáo khoa hoc:" Lack of association between right-to-left shunt and cerebral ischemia after adjustment for gender and age"
Báo cáo khoa hoc:" The transfer from survey (map-like) to route representations into Virtual Reality Mazes: effect of age and cerebral lesion"
Báo cáo khoa hoc:" Failure to confirm influence of Methyltetrahydrofolate reductase (MTHFR) polymorphisms on age at onset of Huntington disease"
Báo cáo khoa hoc:"Age and gender differences in seven tests of functional mobility"
crossorigin="anonymous">
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.