ABSTRAT: Online social networks (OSN) provide relevant information on users’ opinion about different themes. Thus, applications, such as monitoring and recommendation systems (RS) can collect
ABSTRAT: Online social networks (OSN) provide relevant information on users’ opinion about different themes. Thus, applications, such as monitoring and recommendation systems (RS) can collect
ABSTRACT : Link prediction is an important issue in graph data mining. In social networks, link prediction is used to predict missing links in current
ABSTRACT: The advice on the web is adopting to huge volumes, so a arduous affair to atom near-duplicate abstracts efficiently. The alike and near-duplicate abstracts
This system uses opinion mining methodology in order to achieve desired functionality. Opinion Mining for Social Networking Site is a web application. Here the user
ABSTRAT: Crowdfunding has gained a widespread popularity by fuel- ing the creative minds of entrepreneurs. Not only has it de- mocratized the funding of startups,
ABSTRAT: What has happened in machine learning lately, and what does it mean for the future of medical image analysis? Machine learning has witnessed a
ABSTRAT: Students’ feedback is crucial for academic institutions in order to evaluate faculty perfor- mance. Handling the qualitative opinions of students efficiently while automatic report
ABSTRACT : Effective plant growth and yield prediction is an essential task for greenhouse growers and for agriculture in general. Developing models which can effectively
ABSTRACT In recent year, with the speedy development in the digital contents identification, automatic classification of the images became most challenging task in the fields
OBJECTIVE: concept to analyse women safety using social networking messages and by applying machine learning algorithms on it. Now-a-days almost all peoples are using social