Recent developments and studies in brain-computer interface (BCI) technologies have facilitated emotion detection and classification. Many BCI studies have sought to investigate, detect, and recognize participants’ emotional affective states. The applied domains for these studies are varied, and include such fields as communication, education, entertainment, and medicine. To understand trends i...

Cognition & Emotion Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713682755 Automatic attitudes and alcohol: Does implicit liking predict drinking? B. Keith Payne a; Olesya Govorun b; Nathan L. Arbuckle b a University of North Carolina, Chapel Hill, North Carolina, USA b The Ohio State University, Columbus, ...

Over the past decades, social media attracted individuals to express their feelings on any topic or item, resulting in an incremental growth size of created data. These and unstructured data paved path for business organizations gather information build statistical analysis. Various machine learning natural language processing-based approaches are used sentiment emotion Moreover, deep learning-...

It is unclear whether reflective awareness of emotions is related to extent and intensity of implicit affective reactions. This study is the first to investigate automatic brain reactivity to emotional stimuli as a function of trait emotional awareness. To assess emotional awareness the Levels of Emotional Awareness Scale (LEAS) was administered. During scanning, masked happy, angry, fearful an...

As websites, social networks, blogs, and online portals proliferate on the internet, authors are producing reviews, opinions, ideas, ratings, feedback. The emotional content of this writer may be about things like books, people, hotels, items, studies, events, so on. These emotions have great value for businesses, governments, people. majority writer-generated material requires usage text minin...

There are various new applications of genetic algorithms to information retrieval, mostly with respect to relevance feedback. However, they are yet to be evaluated in a way that allows them to be compared with each other and with other relevance feedback techniques. There is always need to efficiently store and retrieve image data to perform assigned tasks and to make a decision. This paper pre...

In two experiments it was investigated which aspects of memory are influenced by emotion. Using a framework proposed by Roediger (American Psychologist 45 (1990) 1043-1056), two dimensions relevant for memory were distinguished the implicit-explicit distinction, and the perceptual versus conceptual distinction. In week 1, subjects viewed a series of slides accompanied with a spoken story in eit...

Different from the existing work focusing on emotion type detection, the proposed approach in this paper provides flexibility for users to pick up their favorite affective content by choosing either emotion intensity levels or emotion types. Specifically, we propose a hierarchical structure for movie emotions and analyze emotion intensity and emotion type by using arousal and valence related fe...

Emotion detection has a high potential positive impact on the benefit of business, society, politics or education. Given this, the main objective of our research is to contribute to the resolution of one of the most important challenges in textual emotion detection: emotional corpora annotation. This will be tackled by proposing a semi-automatic methodology. It consists in two main phases: (1) ...