From Seth Grimes article – NLP: Everyday, Analytical & Unusual Uses Every business process (or personal need) that involves speech or text with volume, velocity, or complexity sufficient to push you to seek automated assistance can benefit from natural language processing. So let’s review, systematically, what NLP can do for you. What follows are 23 facets, […]
It is heartening to see emerging technologies like Big Data Analytics, Natural Language Processing and Artificial Intelligence combined into powerful tools to solve real problems. IBM Watson is an example. From Wikipedia Watson is an artificial intelligence computer system capable of answering questions posed in natural language, developed in IBM‘s DeepQA project by a research team led by principal investigator David Ferrucci. From Watson […]
Coursera has a nice course on Natural Language Processing. I missed it when it started, so catching up now viewing the archives. What makes Natural Language Processing Difficult? 1. Ambiguity in the language. This slide shows other difficulties. 2. What tools do we need? My interest in NLP stems from the following: A better way […]
From Five Myths About Automatic Sentiment Analysis Sentiment analysis using natural language processing. Yes, it is done by a machine and no, it’s not 100 % accurate. The industry estimates that it’s at 70 – 80%. We are very open about that and recommend that it be used as an overview. It would take hours […]