- From: Harith Alani <h.alani@open.ac.uk>
- Date: Tue, 19 Oct 2010 13:06:01 +0100
- To: undisclosed-recipients:;
[apologies for cross-posting] http://kmi.open.ac.uk/studentships/topic-sentiment-tracking-and-analysis.php *Full-time PhD studentship in Topic/Sentiment Tracking and Analysis* Knowledge Media Institute Based in Milton Keynes Three-year PhD studentship *Application deadline: 8 November 2010* The PhD studentship will provide a tax-free stipend of £13,590 (increases on an annual basis) and covers all fees, and is available to any suitably qualified UK, EU and International student. Start Date: January 2011 (or later by agreement). Background: With the explosion of people's attitudes and opinions expressed in social media including blogs, discussion forums, tweets, etc, detecting sentiment or opinion from the Web is becoming an increasingly popular way of interpreting data. Sentiment analysis is concerned with automatically identifying sentiment or opinion expressed in a given piece of text. It finds wide applications in tracking companies' reputations, finding customers' opinions about products/services and competitors, monitoring positive or negative trends in social media, etc. This studentship is funded by both the Open University and an EU project that involves several academic and industrial partners from various European countries. The aim of this project is to design and develop a platform for real-time monitoring and analysis of business online communities. Project: This PhD project aims to use semantic technologies to develop novel techniques for topic/sentiment extraction and monitoring from blogs, forums, and other social media using techniques from machine learning, natural language processing, information retrieval, data mining, and semantic web. In particular, it will focus on detecting, tracking and qualitatively measuring topic ebb and flow, providing views of current and recurrent interests and shifts in topic and sentiment. This project will also identify community roles such as topic innovators, summarisers, answer-givers or the content of topics likely to engender disputes. Academic Requirements: You should have a first or upper second-class honours undergraduate degree or a relevant Masters Degree or equivalent experience in a relevant computer science discipline. Knowledge of natural language processing or machine learning would be desirable. How to Apply: Be sure to refer to the online prospectus at http://www3.open.ac.uk/study/research-degrees/computing.htm and download and complete the 10-page MPhil/PhD application form. Applications should be sent by email to Miss Ortenz Rose, including a covering letter, a research proposal (a maximum of 2,000 words) and a full CV, giving contact details for two academic referees. Application deadline: 8 November 2010 Interviews: week commencing 22 November 2010 -- The Open University is incorporated by Royal Charter (RC 000391), an exempt charity in England & Wales and a charity registered in Scotland (SC 038302).
Received on Tuesday, 19 October 2010 12:06:40 UTC