000			01949 a2200217 4500
003			OSt
005			20240711154702.0
008			240711b |||||||| |||| 00| 0 eng d
020			_a9781484285237
040			_bEnglish
082			_a006.35/KUL/SHI
100			_aKulkarni, Akshay
245			_aNatural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques
260			_bApress _c2024
300			_axvii, 317p
520			_aThe book starts with an overview of natural language processing (NLP) and artificial intelligence to provide a quick refresher on algorithms. Next, it covers end-to-end NLP projects beginning with traditional algorithms and projects such as customer review sentiment and emotion detection, topic modeling, and document clustering. From there, it delves into e-commerce related projects such as product categorization using the description of the product, a search engine to retrieve the relevant content, and a content-based recommendation system to enhance user experience. Moving forward, it explains how to build systems to find similar sentences using contextual embedding, summarizing huge documents using recurrent neural networks (RNN), automatic word suggestion using long short-term memory networks (LSTM), and how to build a chatbot using transfer learning. It concludes with an exploration of next-generation AI and algorithms in the research space.
650			_2Implement full-fledged intelligent NLP applications with Python, Translate real-world business problem on text data with NLP techniques, Leverage machine learning and deep learning techniques to perform smart language processing, Gain hands-on experience implementing end-to-end search engine information retrieval, text summarization, chatbots, text generation, document clustering and product classification, and more.
700			_aShivananda, Adarsha
800			_aKulkarni, Anoosh
942			_cB _2ddc
999			_c696004 _d696004