Emotion detection in text: a review
In recent years, emotion detection in text has become more popular due to its vast potential
applications in marketing, political science, psychology, human-computer interaction …
applications in marketing, political science, psychology, human-computer interaction …
Detecting implicit expressions of emotion in text: A comparative analysis
Sentiment analysis is one of the recent, highly dynamic fields in Natural Language
Processing. Most existing approaches are based on word-level analysis of texts and are …
Processing. Most existing approaches are based on word-level analysis of texts and are …
Building and exploiting emotinet, a knowledge base for emotion detection based on the appraisal theory model
A Balahur, JM Hermida… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
The task of automatically detecting emotion in text is challenging. This is due to the fact that
most of the times, textual expressions of affect are not direct-using emotion words-but result …
most of the times, textual expressions of affect are not direct-using emotion words-but result …
Emotinet: A knowledge base for emotion detection in text built on the appraisal theories
The automatic detection of emotions is a difficult task in Artificial Intelligence. In the field of
Natural Language Processing, the challenge of automatically detecting emotion from text …
Natural Language Processing, the challenge of automatically detecting emotion from text …
Implicit life event discovery from call transcripts using temporal input transformation network
Customer-agent conversations (ie call transcripts) are invaluable source for companies as
they convey direct information from their customers implicit and explicit behaviour …
they convey direct information from their customers implicit and explicit behaviour …
[PDF][PDF] Sentiment and emotion analysis of text: A survey on approaches and resources
N Azam, B Tahir, MA Mehmood - Language & Technology, 2020 - researchgate.net
The evolution of internet has given the ability to the users to give their reviews, ratings, and
opinions on social media or commercial websites. Sentiment and emotion analysis is an …
opinions on social media or commercial websites. Sentiment and emotion analysis is an …
Using EmotiBlog to annotate and analyse subjectivity in the new textual genres
E Boldrini, A Balahur, P Martínez-Barco… - Data Mining and …, 2012 - Springer
Thanks to the increasing amount of subjective data on the Web 2.0, tools to manage and
exploit such data become essential. Our research is focused on the creation of EmotiBlog, a …
exploit such data become essential. Our research is focused on the creation of EmotiBlog, a …
Análisis de Sentimientos y Minería de Opiniones: el corpus EmotiBlog
J Fernández, E Boldrini, JM Gómez… - … del lenguaje natural, 2011 - journal.sepln.org
EmotiBlog es una colección de entradas de blogs creado y anotado para detectar
expresiones subjetivas en los nuevos géneros textuales nacidos con la Web 2.0 …
expresiones subjetivas en los nuevos géneros textuales nacidos con la Web 2.0 …
Polarity shifting for Romanian sentiment classification
There are three main classes of modifiers that can affect the polarity of the sentiments
described in natural language texts: negations, intensifiers and diminishers. In this paper …
described in natural language texts: negations, intensifiers and diminishers. In this paper …
[PDF][PDF] EmotiBlog: an Annotation Scheme for Emotion Detection and Analysis in Non-traditional Textual Genres.
With the growth of the social Web, people have started to freely express their opinion on a
whole variety of topics on forums, e-commerce sites or blogs. As a consequence, we need …
whole variety of topics on forums, e-commerce sites or blogs. As a consequence, we need …