Common NLP Techniques
* Before reading through our piece on common NLP techniques, make sure to check out the previous three installments of this series: “What is Natural Language Processing,” “Natural Language Processing Applications, and “What are the Top NLP Language Models.”
What’s this about: Natural language processing (NLP) intersects the fields of computer science, artificial intelligence, and linguistics to enable computers to process and “understand” natural language. This in turn helps them carry out tasks like language translation and text summarization. NLP is quickly becoming one of the most crucial technologies of our day, especially given the rapid rise of voice interfaces and chatbots. It is extremely impressive how far NLP has come in a short time, since human language is incredibly complex and hard to represent.
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NLP primarily consists of two sub fields:
- Natural Language Generation (NLG): Subset of NLP that focuses on enabling computers to write and produce a human language text response based on data input.
- Natural Language Understanding (NLU): Subset of NLP that uses syntactic and semantic analysis of text and speech to determine the meaning of a sentence.
Because of the recent surge of unstructured data from text, videos, and photos over the last few…
