Offensive Language Recognition in Social Media
نویسندگان
چکیده
منابع مشابه
Mining Offensive Language on Social Media
English. The present research deals with the automatic annotation and classification of vulgar ad offensive speech on social media. In this paper we will test the effectiveness of the computational treatment of the taboo contents shared on the web, the output is a corpus of 31,749 Facebook comments which has been automatically annotated through a lexicon-based method for the automatic identific...
متن کاملSocial Media in Public Libraries: Recognition of Applications, Obstacles and Problems of Use
Background and Aim: Social media because of its interactive nature and the fact that it is being free of charge is widely used in libraries. Web 2.0 is a tool that offers permanent connection every time and offers educational programs without limitations of place and time. But what is included in social media application in public libraries and what obstacles and problems are there in the way...
متن کاملLocation and Language Use in Social Media
We now know that social interactions are critical in many knowledge and information processes. In this talk, I plan to illustrate a model-driven approach to understanding social behavior around user location and different languages in social media. First, in 2010, we performed the first in-depth study of user location field in Twitter user profiles. We found that 34% of users did not provide re...
متن کاملTargetable Named Entity Recognition in Social Media
We present a novel approach for recognizing what we call targetable named entities; that is, named entities in a targeted set (e.g, movies, books, TV shows). Unlike many other NER systems that need to retrain their statistical models as new entities arrive, our approach does not require such retraining, which makes it more adaptable for types of entities that are frequently updated. For this pr...
متن کاملPerson Recognition in Social Media Photos
People nowadays share large parts of their personal lives through social media. Being able to automatically recognise people in personal photos may greatly enhance user convenience by easing photo album organisation. For human identification task, however, traditional focus of computer vision has been face recognition and pedestrian re-identification. Person recognition in social media photos s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computación y Sistemas
سال: 2020
ISSN: 2007-9737,1405-5546
DOI: 10.13053/cys-24-2-3376