Sentiment analysis, a subfield of natural language processing, aims to determine the emotional tone conveyed by text. While sentiment analysis has been extensively explored in various domains, the analysis of jokes poses unique challenges due to their inherent humor and often ambiguous nature. These working notes present an overview of sentiment analysis applied specifically to JOKER data, one word-level analysis and in application of wordplay interpretation from the JOKER corpus for sentiment analysis.