Natural Language Processing (NLP) is a sub field of computer science that deals with extracting meaningful patterns from large amounts of text. Traditionally, rule based approaches have dominated in the field, however recently Deep Neural Networks have shown promising results when applied on different NLP tasks. The biggest advantage of applying deep learning on text is eliminating the need of feature engineering which needs domain expertise. With the advent of deep learning, we no more need manual feature engineering, rather algorithms based on neural networks automate the process. This seminar will give an overview to the participants about different applications of deep learning on varying tasks of nlp including sentiment analysis, topic modeling and creative side of AI that is text generation.
27/09/2022