No abstract

People feel entitled to express their opinions on social media, and many of these opinions may be hostile to others. Hate speech recognition is essential in today's world, where it is important to keep track of what is posted in public for all to see. This paper discusses ways to detect hateful language on any topic using data mining, natural language processing, and machine learning techniques on the social media site Twitter. A Logistic Regression Model for Hate Speech Recognition is proposed. The research conducted provides details of all the hate commenters as well as an overview of the topics on which the hate is being projected the most.

No abstract

Sustainable Computing is the way to provide sustainability considering all aspects like software, hardware as well as the energy consumption process. This paper discusses the need of sustainable computing and the various problems that can and are cured by sustainable computing through Open Data, Big Data and Artificial Intelligence. Since everything in this universe has its pros and cons, so do the above mentioned solutions, which are also discussed in the paper. The paper concludes by describing how sustainable computing has benefitted us in the past and will do the same in the future.

No abstract