Text Sentiment Analysis in NLP Problems, use-cases, and methods: from by Arun Jagota
Sentiment Analysis Using Natural Language Processing NLP by Robert De La Cruz Chatterjee et al. (2019) developed a model called sentiment and semantic emotion detection (SSBED) by feeding sentiment and semantic representations to two LSTM layers, respectively. These representations are then concatenated and then passed to a mesh network for classification.