A review on sentiment analysis and emotion detection from text

Abstract

Social networking platforms have become an essential means for communicating feelings to the entire world due to rapid expansion in the Internet era. Several people use textual content, pictures, audio, and video to express their feelings or viewpoints. Text communication via Web-based networking media, on the other hand, is somewhat overwhelming. Every second, a massive amount of unstructured data is generated on the Internet due to social media platforms. The data must be processed as rapidly as generated to comprehend human psychology, and it can be accomplished using sentiment analysis, which recognizes polarity in texts. It assesses whether the author has a negative, positive, or neutral attitude toward an item, administration, individual, or location. In some applications, sentiment analysis is insufficient and hence requires emotion detection, which determines an individual’s emotional/mental state precisely. This review paper provides understanding into levels of sentiment analysis, various emotion models, and the process of sentiment analysis and emotion detection from text. Finally, this paper discusses the challenges faced during sentiment and emotion analysis.

WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories

“…Most emotion prediction models are learned in a supervised manner with feature engineering or continuous representation learned through pretrained language models (Peters et al, 2018;Devlin et al, 2018). Acheampong et al (2020); Murthy and Kumar (2021); Nandwani and Verma (2021); Acheampong et al (2021) survey state-of-the-art emotion detection techniques and resources and discuss open issues in this area.…”

Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM

“…Due to the differences of language expression and the diversity and complexity of Chinese expression, the research on microblog text is full of challenges [ 10 , 11 ]. Reference [ 12 ] analyzed and expounded the level of emotion analysis, various emotion models, emotion analysis, and text emotion detection process, and discussed the challenges faced in the process of emotion analysis. Reference [ 13 ] proposed a dictionary-based text emotion analysis system.…”

Sentiment Analysis of Public Social Media as a Tool for Health-Related Topics

“…While text data are the most common object of study in SA applications [9], these can also be based on the processing of images, sound, video, or a combination of these data types [52]- [54]. Thus, the specific methodologies and content sources for the data collection step vary depending on the types to be analyzed.…”