Multilingual Subjectivity Analysis Using Machine Translation

Multilingual Subjectivity Analysis Using Machine Translation

Date: October 2008
Creator: Banea, Carmen; Mihalcea, Rada, 1974-; Wiebe, Janyce M. & Hassan, Samer
Description: This paper discusses multilingual subjectivity analysis using machine translation.
Contributing Partner: UNT College of Engineering
Subjectivity Word Sense Disambiguation

Subjectivity Word Sense Disambiguation

Date: August 2009
Creator: Akkaya, Cem; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Description: This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses.
Contributing Partner: UNT College of Engineering
Integrating Knowledge for Subjectivity Sense Labeling

Integrating Knowledge for Subjectivity Sense Labeling

Date: May 2009
Creator: Gyamfi, Yaw; Wiebe, Janyce M.; Mihalcea, Rada, 1974- & Akkaya, Cem
Description: This paper discusses integrating knowledge for subjectivity sense labeling.
Contributing Partner: UNT College of Engineering
Multilingual Subjectivity: Are More Languages Better?

Multilingual Subjectivity: Are More Languages Better?

Date: August 2010
Creator: Banea, Carmen; Mihalcea, Rada, 1974- & Wiebe, Janyce M.
Description: This paper discusses multilingual subjectivity.
Contributing Partner: UNT College of Engineering
Extrapolating Subjectivity Research to Other Languages

Extrapolating Subjectivity Research to Other Languages

Date: May 2013
Creator: Banea, Carmen
Description: Socrates articulated it best, "Speak, so I may see you." Indeed, language represents an invisible probe into the mind. It is the medium through which we express our deepest thoughts, our aspirations, our views, our feelings, our inner reality. From the beginning of artificial intelligence, researchers have sought to impart human like understanding to machines. As much of our language represents a form of self expression, capturing thoughts, beliefs, evaluations, opinions, and emotions which are not available for scrutiny by an outside observer, in the field of natural language, research involving these aspects has crystallized under the name of subjectivity and sentiment analysis. While subjectivity classification labels text as either subjective or objective, sentiment classification further divides subjective text into either positive, negative or neutral. In this thesis, I investigate techniques of generating tools and resources for subjectivity analysis that do not rely on an existing natural language processing infrastructure in a given language. This constraint is motivated by the fact that the vast majority of human languages are scarce from an electronic point of view: they lack basic tools such as part-of-speech taggers, parsers, or basic resources such as electronic text, annotated corpora or lexica. This severely limits the ...
Contributing Partner: UNT Libraries
Learning Multilingual Subjective Language via Cross-Lingual Projections

Learning Multilingual Subjective Language via Cross-Lingual Projections

Date: June 2007
Creator: Mihalcea, Rada, 1974-; Banea, Carmen & Wiebe, Janyce M.
Description: This paper discusses learning multilingual subjective language via cross-lingual projections.
Contributing Partner: UNT College of Engineering