Natural Language Processing
Dr. Suneel Kumar
Director at HyperNex Technologies | Data Scientist | 6+ Years in ML, Predictive Modeling & NLP | PhD in Data Science | Expertise in Deep Learning, Visualization, & EDA | Proven in Reducing Churn & Boosting Model Accuracy
Natural Language processing (NLP) is a branch of Artificial intelligence (AI). The main intention of NLP is to build system that can make sense of text and then automatically execute the task. Like Spell-check, Text translation, Topic Classification etc.?
Why NLP is difficult?
NLP is considered a difficult problem in computer science. It’s the nature of human language that makes NLP difficult. The rules that dictate the passing of information using Natural language are not easy for computer to understand.
What is the hardest part of NLP?
?The main challenge of NLP is the understanding and modeling of elements within a variable context. In a natural language, words are unique but can have different meanings depending on the context resulting in ambiguity on the lexical, syntactic, and semantic levels.
What is the main problem of NLP?
?NLP Challenges to Consider. Words can have different meanings. Slangs can be harder to put out contextual. And certain languages are just hard to feed in, owing to the lack of resources.