A survey on sentiment analysis methods, applications, and challenges

By Mayur Wankhade, A. C. Rao, Chaitanya Kulkarni. Artificial Intelligence Review, 2022

1,344 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges (2023, background): “Due to its great result and accuracy and requiring less training time, the transfer learning technique has grown exponentially [78].”
ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification (2025, unknown): “Extracting meaningful information from such textual content is essential for a wide range of NLP applications, and transformer-based language models (LMs) [5] have achieved state-of-the-art performance in tasks including sentiment analysis [6], question answering [7], and text classification [8].”