TEXTUAL EMOTION DETECTION APPROACHES: A SURVEY

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-based recently gained popularity due remarkable performance text This paper provides a comprehensive overview prominent models applied It explores various analysis taxonomies, addition constraints prevalent architectures. The also reviews some previously presented contributions with focus methodologies as well most common datasets. presents comparison between several models. demonstrates effectiveness techniques tackling challenges.