Tech Report

Sentiment Analysis of Microblogs

In the past years, we have witnessed an increased interest in microblogs as a hot research topic in the domain of sentiment analysis and opinion mining. Through platforms like Twitter and Facebook, millions of status updates and tweet messages, which reflect people’s opinions and attitudes, are created and sent every day. This has recently brought great potentials and created unlimited opportunities where companies can detect the level of satisfaction or intensity of complaints about certain products and services and policy makers and politicians are able to detect the public opinions about their policies or political issues.

Sentiment analysis of microblogs faces several major challenges due to the unique characteristics possessed by microblogging services. One challenge is data sparsity. This is because microblogs contain a large number of irregular and ill-formed words due to the length limit. Another challenge is open-domain where users can post about any topic. This forces building sentiment classifier that work independently of the studied domain. Another serious challenge is data dynamics and evolution as microblogs are produced continuously by a large and uncontrolled number of users. This poses very strict constraints where microblogging data should be processed and analysed in real-time.

This report summarises the previous work in microblog sentiment analysis and discusses the major challenges that are yet to be overcome. It then presents my pilot work that has been undertaken so far in which I proposed a novel feature-approach to addressed the data sparsity problem of tweets data. The future plan for the remaining two years is given at the end of the report.

ID: kmi-12-02

Date: 2012

Author(s): Hassan Saif

Resources:
Download PDF

View By

Other Publications

Jobs

Research Assistant / Associate

Knowledge Media Institute (KMi)
"£29,301 - £38,183"
Based in Milton Keynes
Temporary 15 months contract, commencing Octoberr 2017

The Knowledge Media Institute (KMi) is looking for a Research Assistant or a Research Associate to work on an EU funded project. The Hub4NGI project will strengthen and coordinate the work done by ongoing and upcoming projects, focusing on Next Generation Internet Experimentation (NGI-E), with the goal to transform the current NGI-E setting into an increasingly dynamic, collaborative and participatory Innovation Ecosystem capable of effectively supporting and coordinating activities across the...

ERDF Project Secretary

Knowledge Media Institute (KMi)
"£21,843 - £24,565"
Based in Milton Keynes
Temporary contrat until 30th June 2019

The Open University’s Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM). The unit seeks an experienced Project Secretary to support the delivery management of two projects funded by the European Regional Development Fund (ERDF): ICT Escalator and CityLabs. You will work as part of the KMi Administration team, reporting to the KMi Business Development Manager. You should be adaptable to the unique...

ERDF Project Manager

Knowledge Media Institute (KMi)

Based in Milton Keynes
Temporary contract until 30th June 2019

The Open University’s Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM). The unit seeks an experienced Project Manager to lead the delivery management of two projects funded by the European Regional Development Fund (ERDF): ICT Escalator and CityLabs. You will work with our project partners and SME’s within the SEMLEP Region. These projects will utilise and enhance the research and innovation...

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team