Computational Intelligence for Sentiment Analysis in Natural Language Processing Applications provides a solution to this problem through detailed technical coverage of AI-based Sentiment Analysis methods for various applications. The book's authors provide readers with an in-depth look at the challenges and associated solutions, including case studies and real-world scenarios from across the globe. Development of scientific and enterprise applications are covered that will aid computer scientists in building practical/real-world AI-based Sentiment Analysis systems. With the vast increase in Big Data, computational intelligence approaches have become a necessity for Natural Language Processing and Sentiment Analysis in a wide range of decision-making application areas.
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
Dr. D. Jude Hemanth is currently working as a professor in Department of ECE, Karunya University, Coimbatore, India. He also holds the position of Visiting Professor in Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. He also serves as the Research Scientist of Computational Intelligence and Information Systems (CI2S) Lab, Argentina; LAPISCO research lab, Brazil; RIADI Lab, Tunisia; Research Centre for Applied Intelligence, University of Craiova, Romania and e-health and telemedicine group, University of Valladolid, Spain. Dr. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET. His research areas include Computational Intelligence and Image processing. He has authored more than 200 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences.
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