[LFG] Research position in La Rochelle, France : event detection, sentiment analysis
Antoine Doucet
antoine.doucet at univ-lr.fr
Thu Apr 2 10:40:01 UTC 2015
Please find below the announcement of a postdoctoral position in the
University of La Rochelle, France, on the topics of touristic event
extraction and sentiment analysis.
If you have a Ph.D in computer science and you have working knowledge in
the fields of NLP, IR, Big data and/or ontologies, and if you like the
idea of joining a dynamic research group that lies within walking
distances of 3 different beaches, please let us know!
If you have trouble viewing the description below, please visit the
following url:
http://pageperso.univ-lr.fr/antoine.doucet/PostDoc_EventDetection.pdf
Please note the short deadline: 14 April 2015!!
(apologies for cross-posting)
***Post‐Doctoral Position*
*Sentiment Analysis and **touristic event **extraction*
The L3i laboratory, within the Tourinflux project (http
<http://www.tourinflux.com/>:// <http://www.tourinflux.com/>www
<http://www.tourinflux.com/>. <http://www.tourinflux.com/>tourinflux
<http://www.tourinflux.com/>. <http://www.tourinflux.com/>com
<http://www.tourinflux.com/>/ <http://www.tourinflux.com/>) is seeking a
postdoctoral researcher in computer science, on the topic of sentiment
analysis and touristic event extraction.
/Length: 10months/
/Expected recruitment: 1^st of June 2015 or ASAP – the position is to be
filled ASAP, and will last until the end of February 2016./
/Net salary: 2100 € monthly/
/Location: L3i laboratory, La Rochelle, France/
/Fields: Computer Science / Natural Language Processing / Semantic Web/
/Keywords: E-tourism, Multilingual NLP, Event extraction, opinion
mining, sentiment analysis, NLP, Normalization(schema.org,
TourInFrance), Semantic Web, Data analysis, spatiotemporal events./
*Job description:*
The work will be conducted in the informatics, image and interaction
laboratory (L3i), within the Tourinflux project, funded by a public
investment program for the future(PIA). The L3i is a 120-person
laboratory created in 1993. Hosted in the historical and sunny city of
La Rochelle (http://www.holidays-la-rochelle.co.uk/), it is ranked A by
the French research evaluation agency (AERES).
In addition to the L3i, the Tourinflux project involves 2 companies and
theprofessional association for the digital economy, in collaboration
with several actors of the French tourism industry. The project aims at
providing actors of the touristindustry with a set of tools allowing
them to handle both their internal data, and the information available
on the Web, so as to better diagnose and influence on the perception of
territories. The tools currently available are insufficient, and a lot
of the data gathering, analysis and processing is currently done by
hand, or via the use of various tools that are only partially
satisfactory. Tourinflux aims to provide an extensive dashboard,
allowing all institutions, whatever their size, to visualize and
interpretthe information available about their territory. This should
allow them to improve their decision process and subsequently, their
effectiveness.
Specifically, this postdoctoral position will focus on the automated
extraction of touristic events and/or opinion mining over touristic
objects. Both subjects will be considered on equal groundsand the
ability of the candidate will be the main recruitment criteria. The
techniques to be used will need to be applicable to any language.
1.
*(**Semi**)**-automated **extraction **of tourist**ic****events**:*
Tourism information is both heterogeneous (free text, Web page,
pictures, …) and semi-structured. Extracting touristicinformation is a
major challenge at a time when the masses of unstructured information
are constantly evolving, be it on the Web or within organizations.The
task of the recruited postdoctoral researcher will beto extract
touristic events and insert information into a given representation
model. Two key challenges were identified:
*
Adapting NLP techniques to the specific domain of tourism
information, and extract the key features of the field
*
Understanding and feeding the given models of representations for
touristic data.
Recent work on the temporal analysis of natural language, so as to grasp
the opening hours of touristic objects remains to beintegrated. It will
be a plus if the recruited postdoctoral researcher is able to integrate
this work within the event extraction process.
2.
*Sentiment analysis **over touristic objects*
The postdoctoral researcher will be in charge of extracting sentiment
from online data, e.g, evaluation platforms (such as tripadvisor),
blogs, microblogs, … The extracted data is to be adapated to our own
opinionated mark-up language (see, eg, SentiML). This task will require
three steps:
*
Given a touristic object, fetch online information about it;
*
Extract sentiment about the object;
*
Fill our annotation schema.
*Specific requirements:*
Candidates must have PhD in computer science, with abilities in
knowledge representation and data mining. Research experience is also
required in at least 2 of the following domains:
*
Natural Language Processing, Text mining
*
Information Retrieval
*
Big Data and Data Warehouses (eg, Hadoop)
*
Modeling, Ontologies and inference engines
*
Annotation and Evaluation methodologies
*General requirements:*
*
One or more of the following programming languages: Python, C/C++, java…
*
Team-work skills (knowledge of Agile methodologies would be a plus)
*
Proven ability for scientific writing
*To apply:*
All candidates are required to send a resume, an expression of interest,
and the names and contact information of at least 2 references
(including email addresses) to:
*mickael.coustaty at univ-lr.fr*
*antoine.doucet at univ-lr.fr*
_*Please note that applications must be sent at the latest on
*__*Tues*__*day *__*14*__**__*April *__*at 23:59 CET*_
--
Antoine Doucet
Full Professor
L3i - Laboratoire Informatique, Image et Interaction
University of La Rochelle - IUT de La Rochelle
http://pageperso.univ-lr.fr/antoine.doucet/
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