A Stem to Stern Sentiment Analysis Emotion Detection
N.A. Pratibha, Gaganpreet Kaur, Amandeep Kaur, Meenu Khurana · 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · 2022
Due to the Internet's rapid expansion, social networking sites have emerged as crucial tools for sharing emotions with the entire globe. Many people share their thoughts or opinions through text, images, audio, and video On the other hand, text communication over web-based network media can be a little overwhelming. Social media web sites generate a substantial volume of unstructured data on the Internet every second. It is essential to analyze data as soon as it is generated in order to understand human psychology. Sentiment analysis, which detects polarity in texts, can help with this. It evaluates the author's attitude toward a particular thing, administration, person, or place and determines if that attitude is negative, positive, or neutral. A person's emotional/mental condition can be reliably detected using emotion detection. This article describes different levels of sentiments, emotions models, and techniques for detecting sentiments from text. The study also emphasis the challenges associated with assessing mood and emotion. Last but not least, this paper also highlights the difficulties encountered during sentiment and emotion analysis.