Opinion Mining in Information Retrieval

Surbhi Bhatia is Doctorate in Computer Science and Engineering from Banasthali Vidyapith, Rajasthan, India in the area of data mining and machine learning. She has a rich teaching and academic experience of 8 years. She is currently teaching in King Faisal University, Saudi Arabia. Dr. Bhatia has worked with different universities in India like Amity University, KR Mangalam University, ManavRachna International University and Echelon Institute of Technology in the Department of Computer Science and Engineering as an Assistant Professor. She has done her Masters in Computer Science from Amity University and Bachelors in Information Technology from Maharishi Dayan and University. She has published more than 23 research papers in high indexing databases such as SCIE, Scopus and Web of Science and presented papers in conferences including IEEE, and Scopus. She has contributed and successfully published seven Indian patents, out of which she is the inventor of two patents, published one book titled "Introduction to Machine Learning" and currently editing two books also.  She is a member of professional bodies like CSI and IEEE. She has been the reviewer for IEEE and other international journals. Dr. Bhatia has guided many projects and supervised Masters dissertations. She has attended and organized seminars and workshops. In addition to teaching conventional CS courses like data structures,  database management systems and data warehousing &data mining. She is passionate about teaching and her critical thinking skills make her a good researcher. She is a great communicator having infallible optimism in every situation.   Poonam Chaudhary has 12 years of teaching and industry experience. She is currently working as an Assistant Professor in the Department of CSE& IT,  The NorthCap University, India. She has completed her B.Tech. from the University of Rajasthan, Jaipur, followed by M.Tech. from CITM, Faridabad affiliated by MDU Rohtak. Currently, she is pursuing Ph.D. from MRIIRS, India in the field of Brain–Computer Interfacing using EEG signals. She has also completed GIAN course on “Brain–Computer Interfaces” from IIT Guwahati and GIAN course on “Machine Learning” from MNIT Jaipur. She was mentor of four start-up projects in the field of Computer Science. She has several publications to her credit in various leading international and national journals/conferences in the various areas like brain computer interfacing, data mining and machine learning. She has contributed in two Indian patents which are successfully published .Nilanjan Dey is an Assistant Professor in the Department of Information Technology at Techno India College of Technology, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He is a Visiting Professor at Wenzhou Medical University, China, and Duy Tan University, Vietnam. He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his Ph.D. from Jadavpur University in 2015. He has authored/edited more than 60 books with Elsevier, Wiley, CRC Press and Springer and published more than 300 papers. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global (Scopus, ESCI) and Associated Editor of IEEE Access and International Journal of Information Technology, Springer. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, and Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and Data Analysis, CRC. His main research interests include medical imaging, machine learning, computer-aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing – Young ICT Group. He is among the top 5 most published academics in the field of Computer Science in India (2014–19) [SciVal Scopus].

• Chapter 1. Introduction to Opinion Mining.- Chapter 2. Opinion Score Mining System.- Chapter 3. Opinion Retrieval.- Chapter 4. Aspect Extraction.- Chapter 5. Opinion Classification.- Chapter 6. Opinion Summarization.- Chapter 7. Conclusions.