For graduate students and budding researchers in natural language processing, computer scientists review current research and practices in computational techniques to automate any kind of human-like processing of natural language content. They cover text analytics, machine translation, advanced question answering systems, multilingual information access, digital content management, and speech processing. Among the topics are word sense disambiguation, domain adaptation in part-of-speech tagging, a computational cognitive model of human translation processes, interactive question answering, mining user-generated content for social research and other applications, and spreadsheeting using modified visual feature vectors.
– Book News Inc. Portland, USA
This book is highly recommended for researchers of NLP as it provides insight about various research issues such as word sense disambiguation, sentiment analysis, multilingualism, and more. The research issues can be applied to future study and development.
– Dr. Rajni Mohana, Jaypee University of Information Technology, India