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Research Fellowship in Opinion Mining

          

developing ML techniques for classifying text form different genres, including news, blogs and micro-blogs, mining opinions from social media about news topics and personalities, and detecting information flow.

INESC-ID At: INESC-ID
Location: Lisbon, Portugal
Web: xldb.fc.ul.pt/wiki/Reaction

INESC-ID invites expressions of interest from potential PhD candidates in Computer Science, Informatics Engineering or Computational Linguistics, with strong background in Machine Learning, for a research fellowship in Opinion Mining.

The grant is for a period of 6 months (eventually renewable for up to 12 months) and the selected candidate will be working in the REACTION - Retrieval, Extraction, and Aggregation Computing Technology for Integrating and Organizing News - project ( dmir.inesc-id.pt/reaction/Reaction ), at INESC-ID.

REACTION is a Strategic Research and development project in Interactive and Advanced Digital Media, funded by the CoLab, UT Austin | Portugal International Collaboraboratory for Emerging Technologies (www.utaustinportugal.org/).

JOB DESCRIPTION

1. Summary:
The research activities involve the development of machine learning techniques for classifying text form different genres, including news, blogs and micro-blogs, mining opinions from social media (e.g. news comments and tweets) about news topics and personalities, and detecting information flow. For further information about the context of this work, see the project web page: xldb.fc.ul.pt/wiki/Reaction.

2. Salary:
The grant amount is 980 Euros per month (tax free), according to the BI scholarship stipends defined by FCT (alfa.fct.mctes.pt/apoios/bolsas/valores.phtml.en).

_Contact_:
Interested candidates should send their Curriculum Vitae and a motivation letter by email to Prof. Mário J. Silva at mjs@inesc-id.pt.


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