A current perceived emotional state of a user is determined. A semantic content of text
inputted by the user can also be determined, as can an ongoing context in which the text …

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 …

Recently, sentiment analysis of social media has become a hot topic because of the huge
amount of information that is provided in these networks. Twitter is a popular social media …

Humans have the power to feel different types of emotions because human life is filled with
many emotions. Human's emotion can be reflected through reading or writing a text. In …

Twitter is one of the most used microblogs in social media communication channels.
Emotion detection has recently raised as an important research field. Extracting emotions in …

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 …

As digital marketing is becoming more popular, the number of customer views on brands is
increasing rapidly. This makes it harder for companies to assess their brand image or …

Emotion Detection is a part of Natural Language Processing (NLP) that still evolve.
Emotional Corpus that had been widely used are Wordnet Affect Emotion (WNA) and ANEW …

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 …

Nowadays, because of increasing of text data, recognizing the emotions of text can help to
get a better comprehension of context. However, finding emotional information from text is a …