Tool for Computing Continuous Distributed Representations of Words

Natural language processing (NLP) involves machine learning, artificial intelligence, algorithms and linguistics related to interactions between computers and human languages. One important goal of NLP is to design and build software that will understand and analyze human languages to simplify and optimize human - computer communication. NLP algorithms are usually based on probability theory and machine learning grounded in statistical inference -- to automatically learn rules through analysis of real-world usage. It includes word and sentence tokenization, text classification and sentiment analysis, spelling correction, information extraction, parsing, meaning extraction, question answering and requires both syntactic and semantic analysis at various levels. NLP applications today involve spelling and grammar correction in word processors, machine translation, sentiment analysis and email spam detection.