This is a brief overview of the starting points a project currently proposed and under evaluation by funding agencies. We discuss some of the linguistic methodology we plan to employ to idenitify and analyze attitudinal expressions in text, and touch briefly on how to evaluate our future results

Clough, P.

Eriksson, G.

Franzen, K.

Hansen, P.

Karlgren, J.

Mizzarro, S.

Sanderson, M.

English

This paper describes how a proposed project will research the expression of attitude, affect, and sentiment in text in order to automatically identify and extract such expressions. The project starting points are a set of hypotheses:

+ There are syntactic and lexical markers in text such that attitudinal information can be harvested using them;

+ Players, or discourse referents, in text are one such crucial marker for modeling topicality in general and attitudinal information flow in particular;

+ Attitudes in texts are dependent on text type and domain;

+ Attitudinal information can be applied in the development of practical tools for information access, among other application areas;

+ An extended notion of relevance will afford us with a empirical evaluation model for our theories and experiments

Karlgren, Jussi

Eriksson, Gunnar

Franzén, Kristofer

Clough, Paul

Hansen, Preben

Mizzaro, Stefano

Sanderson, Mark

Software institutes' Online Digital Archive

Reading between the lines: attitudinal expressions in text

Swedish Institute of Computer Science Publications Database

White Rose Research Online

https://eprints.whiterose.ac.uk/4555/1/rebelAAAISS04.pdf

Reading between the lines: attitudinal expressions in text

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Software institutes' Online Digital Archive

Swedish Institute of Computer Science Publications Database

White Rose Research Online