1. Role of Machine Learning in Sentiment Analysis: Trends, Challenges and Future Directions Vidyasagar Shetty and Shabari Shedthi 2. A Comparative analysis of Machine Learning and Deep Learning Techniques for Aspect-based Sentiment Analysis Getzi Jeba Leelipushpam Paulraj, Theresa V. Cherian, Joyce Beryl Princess and Immanuel Johnraja Jebadurai 3. A systematic survey on Text-based Dimensional Sentiment Analysis: Advancements, Challenges and Future directions Saroj Date and Sahin Deshmukh 4. A model of time in Natural Linguistic Reasoning Daniela López De Luise and Sebastian Cippitelli 5. Hate speech detection using LSTM network from Twitter speech data Ravi Shekhar Tiwari 6. Enhanced Performance of Drug Review Classification from Social Network by ADASYN Training and NLP Techniques P.M. Lavanya and E Sasikala 7. Emotion Detection from Text Data using Machine Learning for Human Behavior Analysis Muskan Garg and Chandni Saxena 8. Optimization of Effectual Sentiment Analysis in Film Reviews using Machine Learning Techniques S. Balamurugan 9. Deep Learning for Double Negative Detection in Text Data for Customer Feedback Analysis on a Product Deepika Ghai, Suman Lata Tripathi, Ramandeep Sandhu, Ranjit Kaur, Mohammad Faiz and Gurleen Kaur Walia 10. Sarcasm Detection using Deep Learning in Natural Language Processing Santhanam Lakshmi 11. Abusive comment detection in Tamil Language using Deep Learning Vedika Gupta, Deepawali Sharma and Vivek Kumar Singh 12. Implementation of Sentiment Analysis in Stock Market Prediction using variants of GARCH models Vijayalakshmi V 13. A Metaheuristic Harmony Search Optimization Based Approach for Hateful and Offensive Speech Detection in social media S. Saroja and S Haseena

Includes basic concepts, technical explanations, and case studies for in-depth explanation of the Sentiment Analysis Aids computer scientists in developing practical/real-world AI-based Sentiment Analysis systems Provides readers with real-world development applications of AI-based Sentiment Analysis, including transfer learning for opinion mining from pandemic medical data, sarcasm detection using neural networks in human-computer interaction, and emotion detection using the random-forest algorithm