This thesis presents a computational text analysis tool called AFFECTiS (Affect Interpretation/Inference System) which focuses on the task of interpreting natural language text based on its subjective, non-factual, affective properties that go beyond the 'traditional' factual, objective dimensions of meaning that have so far been the main focus of Natural Language Processing and Computational Linguistics. The thesis presents a fully compositional uniform wide-coverage computational model of sentiment in text that builds on a number of fundamental compositional sentiment phenomena and processes discovered by detailed linguistic analysis of the behaviour of sentiment across key syntactic constructions in English. Driven by the Principle of Semantic Compositionality, the proposed model breaks sentiment interpretation down into strictly binary combinatory steps each of which explains the polarity of a given sentiment expression as a function of the properties of the sentiment carriers contained in it and the grammatical and semantic context(s) involved. An initial implementation of the proposed compositional sentiment model is de- scribed which attempts direct logical sentiment reasoning rather than basing compu- tational sentiment judgements on indirect data-driven evidence. Together with deep grammatical analysis and large hand-written sentiment lexica, the model is applied recursively to assign sentiment to all (sub )sentential structural constituents and to concurrently equip all individual entity mentions with gradient sentiment scores. The system was evaluated on an extensive multi-level and multi-task evaluation framework encompassing over 119,000 test cases from which detailed empirical ex- perimental evidence is drawn. The results across entity-, phrase-, sentence-, word-, and document-level data sets demonstrate that AFFECTiS is capable of human-like sentiment reasoning and can interpret sentiment in a way that is not only coherent syntactically but also defensible logically - even in the presence of the many am- biguous extralinguistic, paralogical, and mixed sentiment anomalies that so tellingly characterise the challenges involved in non-factual classification.

The thesis deals with the subject of semantics of colours in the Czech folk texts using theoretical and methodological framework of culturally oriented and cognitive approaches to language. In order to contribute to the research of the colour domain in linguistic picture of the world in Czech, semantic structure of colour concepts is examined using qualitative analysis of the occurrences excerpted from the corpora of the selected compilations of folk songs of the 19th century. The topic of radiance and visual salience of colours and their manifestations in the source material is discussed as well. Furthermore, the thesis examines if conclusions concerning the usage of colour terms in folk texts drawn by the studies based on the folklore of other Slavic languages can be applicable to the Czech material.

Cette recherche s’intéresse à l’efficacité des registres communicationnels actuels dans une perspective de mobilisation des consommateurs dans la sobriété carbone. Afin d’examiner l’efficacité de ces registres, quatre études ont été menées, i.e. une « méthode-Q » et trois expérimentations. Les deux premières études visent à explorer le rôle des représentations visuelles (i.e. images) et linguistiques (i.e. contenus sémantiques) utilisées pour désigner le changement climatique dans la transmission des préoccupations, des perceptions et des intentions envers la décarbonisation. La troisième étude cherche à expliquer l’effet de l’exploitation de la saillance de mortalité dans ces registres (i.e., anxiogènes vs. informatives) sur les choix de consommation pro-environnementaux (vs. pro-matérialistes). La dernière étude cherche à confirmer qu’une saillance de mortalité, quel que soit son origine (e.g. le changement climatique ou les attaques terroristes) est générateur en majorité des choix de consommation pro-matérialistes (vs. pro-environnementaux). En s’appuyant sur les résultats des ces études, nous mettons en lumière, tout d’abord, la nécessité de modifier ces registres afin de réduire leurs effets négatifs et/ou contreproductifs. Ensuite, la nécessité d’adopter une stratégie de segmentation de la communication selon la vision culturelle du monde dominante des individus pour les engager dans une lutte effective contre le changement climatique. / This research focuses on the effectiveness of climate change communications in order to engage the consumer behaviour in carbon sobriety. To examine this effectiveness, four studies were carried out, i.e., a “Q-method” research and three experiments. The first two studies aim to explore the role of visual representation of climate change and semantic expressions, used to describe this phenomenon in conveying perceptions and attitudes towards decarbonisation. The third study aims to explain the impact of the type of communication (anxiety induced vs. informative) on consumption choices (pro-materialistic vs. pro-environmental). The last study seeks to confirm that mortality salience, whatever its origin is (e.g., climate change or terrorist attacks), generates mostly pro-materialistic consumption choices (vs. pro-environmental). Based on the results of these studies, we highlight, firstly, the necessity to modify these registers in order to reduce their negative and/or counterproductive effects. Secondly, the necessity to adopt a segmentation strategy of communication according to the cultural worldviews of individuals to engage them in an effective fight against the climate changes.