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Farkas Richárd
Sentiment analysis through deep natural language processing

TÉMAKIÍRÁS

Intézmény: Szegedi Tudományegyetem
informatikai tudományok
Informatika Doktori Iskola

témavezető: Farkas Richárd
helyszín: SZTE
helyszín rövidítés: SZTE


A kutatási téma leírása:

Recently, the popularity of social media has increased. People post
messages on a variety of topics, like products and political issues and
a large amount of user generated data is created in textual form.
Several applications have been developed for exploiting the knowledge
and information present in user generated content, like sentiment
analysis whose task is to assign polarity labels (positive, negative and
neutral) to textual elements.

Sentiment analysis can be applied at different levels depending on the
depth of information which we would like to extract from the texts. Most
of the available systems seek to identify the global sentiments of of a
particular document (e.g. a tweet or product review). The chief
objective of the doctoral topic is to addresses deep sentiment analysis.
We step beyond the bag-of-word model and utilize deep natural language
processing techniques to investigate each sentences. For understanding
the sentiment content of the following sentence, the research on new
syntax and semantics-based methods is required. "The menu is limited but
almost all of the dishes are excellent."

előírt nyelvtudás: angol
további elvárások: 
Research topic for foreign applicants.

felvehető hallgatók száma: 1

Jelentkezési határidő: 2017-03-31

 
Minden jog fenntartva © 2007, Országos Doktori Tanács - a doktori adatbázis nyilvántartási száma az adatvédelmi biztosnál: 02003/0001. Program verzió: 1.2318 ( 2016. XI. 26. )