Yvette Yannick Mathieu

A Computational Semantic Lexicon of French Verbs of Emotion

A computational semantic lexicon of French verbs of feeling, emotion, and psychological states is presented here, as well as FEELING, a software program using this lexicon to provide an interpretation and to generate paraphrases. Semantic representations are described by means of a set of feature structures. Sixty newspaper “letters to the Editor” were taken as a domain for the evaluation of this work.

Annotation of emotions and feelings in texts

In this paper, a semantic lexicon in the field of feelings and emotions is presented. This lexicon is described with an ontology. Then, we describe a system to annotate emotions in a text and, finally, we show how these annotations allow a textual navigation.

Measuring the effect of discourse structure on sentiment analysis

The aim of this paper is twofold: measuring the effect of discourse structure when assessing the overall opinion of a document and analyzing to what extent these effects depend on the corpus genre. Using Segmented Discourse Representation Theory as our formal framework, we propose several strategies to compute the overall rating. Our results show that discourse-based strategies lead to better scores in terms of accuracy and Pearsons correlation than state-of-the-art approaches.

Linguistic knowledge and automatic semantic representation of emotions and feelings

In this paper, the FEELING-G system for extracting and building semantic representations of emotions, feelings and psychological states expressed in texts is presented, as well as the linguistic knowledge used by the system. Semantic representations are described by means of a set of feature structures. Letters to the Editor is taken as a domain for the evaluation of this work.

Evaluative language beyond bags of words: Linguistic insights and computational applications

The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including sociology, psychology, economics, linguistics, and computer science. A number of excellent computational linguistics and linguistic surveys of the field exist. Most surveys, however, do not bring the two disciplines together to show how methods from linguistics can benefit computational sentiment analysis systems. In this survey, we show how incorporating linguistic insights, discourse information, and other contextual phenomena, in combination with the statistical exploitation of data, can result in an improvement over approaches that take advantage of only one of these perspectives. We first provide a comprehensive introduction to evaluative language from both a linguistic and computational perspective. We then argue that the standard computational definition of the concept of evaluative language neglects the dynamic nature of evaluation, in which the interpretation of a given evaluation depends on linguistic and extra-linguistic contextual factors. We thus propose a dynamic definition that incorporates update functions. The update functions allow for different contextual aspects to be incorporated into the calculation of sentiment for evaluative words or expressions, and can be applied at all levels of discourse. We explore each level and highlight which linguistic aspects contribute to accurate extraction of sentiment. We end the review by outlining what we believe the future directions of sentiment analysis are, and the role that discourse and contextual information need to play.

Computational comparative studies on Romance laguages a linguistic comparison of lexicon-grammars

What we present here is an app l i ca t i on on the basis of the i t a l i a n and french l i n g u i s t i c data bank assembled by the I s t i t u t o di L ingu is t i ca of Salerno Un ive rs i t y ( I t a l y ) and the Laborato i re Automatique Documentaire et L ingu is t ique (C.N.R.S,-France). These two researching centers have been working fo r years to the c o n s t i t u t i o n of formal ized grammars of the respect ive languages. The composit ion of lex icon-grammars is the f i r s t stage of th i s p ro jec t .