In today's interconnected world, a lot of text data gets generated around the world. This text information includes descriptions of things. Take, for example, people writing about products in Amazon reviews, or people writing about their thoughts through their Facebook posts. Natural Language Processing (NLP) is the application of machine learning and other computational techniques to understanding and representating spoken and written text. The following are the major challenges that NLP seeks to solve:
- Topic modeling: In general, texts deal with a topic. Topic modeling is frequently used to determine hidden structures or "abstract topics" that may be present in a collection of documents. An effective application of topic modeling would be summarization. For example, legal documents are quite complex and verbose, and hence systems such as...