Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and humans using natural language. In recent years, NLP techniques have made significant advancements in various applications such as sentiment analysis, chatbots, machine translation...
Applications and Techniques of Natural Language Processing: An OverviewVaraprasad, R.Mahalaxmi, G.IUP Journal of Computer Sciences
Statistical techniques were relatively good at Natural Language Processing (NLP) tasks like text classification. For tasks like translation, there was still much room for improvement.A recent technique that has advanced the field of Natural Language Processing (NLP) for tasks like translation is dee...
Constructing Financial Sentimental Factors in Chinese Market Using Techniques of Natural Language Processing - Coldog2333/Financial-NLP
To provide a critical appraisal and synthesis of evidence concerning the application of natural language processing (NLP) techniques for clinical purposes in the geriatric population. In particular, we discuss the state of the art on studying language in healthy and pathological ageing, focusing on th...
Protein sequences and natural languages share some similarities. Therefore, many techniques derived from natural language processing (NLP) have been applied to the protein structure and function prediction. In this chapter, we discuss sequence-based predictors of protein structure and function that ...
Advanced Machine Learning Techniques in Natural Language Processing for Indian LanguagesThe paper represents the advanced NLP learning resources in context of Indian languages: Hindi and Urdu. The research is based on domain-specific platforms which covers health, tourism, and......
Tokenizer is very first and very important part of any Language processing. Because when you receive lot of text then the first step to extract information from that bunch of text is to tear apart big bunch of text into some shorter tokens, that represents some useful part of the speech. ...
Trying to keep up with advancements at the overlap of neural networks and natural language processing can be troublesome. That's where the today's spotlighted resource comes in.
Natural language and databases are core components of information systems. They are related to each other because they share the same purpose: the conceptualization aspects of the real world in order to deal with them in some way. Natural language processing (NLP) techniques may substantially enhanc...