Flame Wars: Automatic Insult Detection
نویسنده
چکیده
Toxic comments are increasingly drowning out constructive ones, and websites are reacting by shutting down comment sections. Human moderation is slow and expensive, so an algorithmic solution is preferable. In this project, we explore the problem, existing literature, and recurrent models that have not been applied to this task.
منابع مشابه
Offensive Language Detection Using Multi-level Classification
Text messaging through the Internet or cellular phones has become a major medium of personal and commercial communication. In the same time, flames (such as rants, taunts, and squalid phrases) are offensive/abusive phrases which might attack or offend the users for a variety of reasons. An automatic discriminative software with a sensitivity parameter for flame or abusive language detection wou...
متن کاملFlame Detection for Video-Based Early Fire Warning for the Protection of Cultural Heritage
Cultural heritage and archaeological sites are exposed to the risk of fire and early warning is the only way to avoid losses and damages. The use of terrestrial systems, typically based on video cameras, is currently the most promising solution for advanced automatic wildfire surveillance and monitoring. Video cameras are sensitive in visible spectra and can be used either for flame or smoke de...
متن کاملFire and Flame Detection Methods in Images and Videos
FIRE AND FLAME DETECTION METHODS IN IMAGES AND VIDEOS Yusuf Hakan Habiboğlu M.S. in Electrical and Electronics Engineering Supervisor: Prof. Dr. A. Enis Çetin August 2010 In this thesis, automatic fire detection methods are studied in color domain, spatial domain and temporal domain. We first investigated fire and flame colors of pixels. Chromatic Model, Fisher’s linear discriminant, Gaussian m...
متن کاملReducing Light Change Effects in Automatic Road Detection
Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...
متن کاملReducing Light Change Effects in Automatic Road Detection
Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016