An Architecture for Social Media Summarisation
نویسندگان
چکیده
Social media traffic and mobile usage is growing at an accelerating rate, and the amount of media that is being uploaded on social media sites (such as Twitter, Facebook and Instagram) is also increasing. The consortium GRAISearch aims at developing tools to merge, to visualise and to present this wealth of data in a comprehensive, compact and user-friendly way. This poster will present a work-in-progress architecture for such a purpose to provide users with a central point of access to media from the largest social media sites.
منابع مشابه
Won’t somebody please think of the children? Improving Topic Model Clustering of Newspaper Comments for Summarisation
Online newspaper articles can accumulate comments at volumes that prevent close reading. Summarisation of the comments allows interaction at a higher level and can lead to an understanding of the overall discussion. Comment summarisation requires topic clustering, comment ranking and extraction. Clustering must be robust as the subsequent extraction relies on a good set of clusters. Comment dat...
متن کاملA ranking approach to summarising Twitter home timelines
The rise of social media services has changed the ways in which users can communicate and consume content online. Whilst online social networks allow for fast and convenient delivery of knowledge, users are prone to information overload when too much information is presented for them to read and process. Automatic text summarisation is a tool to help mitigate information overload. In automatic ...
متن کاملComparing Algorithms for Microblog Summarisation
Event detection and tracking using social media and user-generated content has received a lot of attention from the research community in recent years, since such sources can purportedly provide up-to-date information about events as they evolve, e.g. earthquakes. Concisely reporting (summarising) events for users/emergency services using information obtained from social media sources like Twit...
متن کاملImproving Topic Model Clustering of Newspaper Comments for Summarisation
Online newspaper articles can accumulate comments at volumes that prevent close reading. Summarisation of the comments allows interaction at a higher level and can lead to an understanding of the overall discussion. Comment summarisation requires topic clustering, comment ranking and extraction. Clustering must be robust as the subsequent extraction relies on a good set of clusters. Comment dat...
متن کاملMultilingual Summarisation and Sentiment Analysis
Summarisation and sentiment analysis are the key NLP technologies which allow monitoring evolving content and opinions in huge amounts of textual data available on the web. Summarisa-tion can address the problem of information overload by extracting and presenting the main content and sentiment analysis can identify opinions expressed towards entities or events. Because there can be found so ma...
متن کامل