Research Gaps and Problems in Contemporary codemixed Language Sentiment Analysis
Through the collection of linguistic sample data, research papers, scientific reports, and white papers, as well as the use of a variety of statistical approaches and models, this study aims to gain a deeper understanding of the sentiment analysis problem. Current sentiment analysis methods are incapable of analyzing numerous languages concurrently. Approaches based on dictionaries are utilised for sentiment analysis of any given language. In contrast, an ontology-based approach would be more efficient and effective, resulting in a major improvement over present methods. Consequently, this study seeks to comprehend the obstacles and voids in this environment. Python code and excel sheets used in this study are shared for public consumption and reseach work"