This survey describes recent works in the field of Emotion Detection from text, being a part of
the broader area of Affective Computing. This survey has been inspired on the well-known …

The exponential growth of the amount of subjective information on the Web 2.0. has caused
an increasing interest from researchers willing to develop methods to extract emotion data …

Textual emotion detection has a high impact on business, society, politics or education with
applications such as, detecting depression or personality traits, suicide prevention or …

Seeing the myriad of existing emotion models, with the categorical versus dimensional
opposition the most important dividing line, building an emotion-annotated corpus requires …

Social networks are considered as the most abundant sources of affective information for
sentiment and emotion classification. Emotion classification is the challenging task of …

Der Beitrag beschreibt den gegenwärtigen Forschungsstand im Hinblick auf die Analyse
von Emotionswörtern in Texten. Neben einer Einführung in die grundlegenden Verfahren …

Com o rápido crescimento do volume de informações opinativas na web, extrair e sintetizar
conteúdo subjetivo e relevante da rede é uma tarefa prioritária e que perpassa vários …

The exponential growth of the amount of subjective information on the Web 2.0. has caused
an increasing interest from researchers willing to develop methods to extract emotion data …

Welche Emotionen kamen am häufigsten bei der Eandis-Unternehmenskrise vor? Page 1
Welche Emotionen kamen am häufigsten bei der Eandis-Unternehmenskrise vor? Eine …

Emotion detection from text is increasingly popular nowadays, especially when it comes to
human-computer interaction. It is one of the great areas for recognition of the human …