Explain in detail Latent Semantic Analysis LSA in Natural Language Processing? by Sujatha Mudadla
Latent Semantic Analysis for NLP It enables computers to understand, analyze, generate, and manipulate natural language data, such as text and speech. NLP has many applications in various domains, such as information retrieval, machine translation, sentiment analysis, chatbots, and more. One of the emerging applications of NLP is cost forecasting, which is the process of […]
Quantinuum Enhances The Worlds First Quantum Natural Language Processing Toolkit Making It Even More Powerful
Deep Transfer Learning for Natural Language Processing Text Classification with Universal Embeddings by Dipanjan DJ Sarkar BERT builds upon recent work in pre-training contextual representations — including Semi-supervised Sequence Learning, Generative Pre-Training, ELMo, and ULMFit. However, unlike these previous models, BERT is the first deeply bidirectional, unsupervised language representation, pre-trained using only a plain text […]
Boosting Your Insurance Operations with an Insurance Chatbot
AI Chatbot for Insurance Agencies IBM watsonx Assistant When a customer does require human intervention, watsonx Assistant uses intelligent human agent handoff capabilities to ensure customers are accurately routed to the right person. As chatbots evolve with each day, the insurance industry will keep getting new use cases. As AI and Machine Learning become mainstream, […]
11 of the Best AI Programming Languages: A Beginners Guide
What Are the Best Programming Languages for AI Development? A few years ago, Lua was riding high in the world of artificial intelligence. I think it’s a good idea to have a passing familiarity with Lua for the purposes of research and looking over people’s previous work. But with the arrival of frameworks like TensorFlow […]
