PROJECT TITLE :

Discovering Newsworthy Themes From Sequenced Data: A Step Towards Computational Journalism - 2017

ABSTRACT:

Automatic discovery of newsworthy themes from sequenced knowledge will relieve journalists from manually poring over a large quantity of information in order to seek out fascinating news. During this paper, we tend to propose a unique k -Sketch query that aims to search out k placing streaks to best summarize a topic. Our scoring perform takes into consideration streak strikingness and streak coverage at the identical time. We study the k -Sketch question processing in each offline and on-line eventualities, and propose numerous streak-level pruning techniques to search out hanging candidates. Among those candidates, we tend to then develop approximate strategies to discover the k most representative streaks with theoretical bounds. We conduct experiments on four real datasets, and also the results demonstrate the potency and effectiveness of our proposed algorithms: the running time achieves up to 500 times speedup and the quality of the generated summaries is endorsed by the anonymous users from Amazon Mechanical Turk.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Detecting Statistically Significant Communities ABSTRACT: The identification of communities is a fundamental issue in the data analysis of many different fields. Over the course of the last few decades, a great
PROJECT TITLE :Discovering Program Topoi via Hierarchical Agglomerative Clustering - 2018ABSTRACT:In long lifespan software systems, specification documents will be outdated or even missing. Developing new software releases or
PROJECT TITLE : Event Detection and User Interest Discovering in Social Media Data Streams - 2017 ABSTRACT: Social media plays an increasingly necessary role in people’s life. Microblogging may be a form of social media
PROJECT TITLE :Discovering Latent Semantics in Web Documents Using Fuzzy ClusteringABSTRACT:Web documents are heterogeneous and advanced. There exists sophisticated associations within one internet document and linking to the
PROJECT TITLE :Interactive Visual Discovering of Movement Patterns from Sparsely Sampled Geo-tagged Social Media DataABSTRACT:Social media information with geotags can be used to track individuals's movements in their daily lives.

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry