Natural Language Processing and Information Retrieval; Principles and Applications
Muskan Garg, Sandeep Kumar, Abdul Khader Jilani SaudagarFeatures
• Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation
• Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data
• Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining
• Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing
• Covers latest datasets for natural language processing and information retrieval for social media like Twitter
The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.