Natural Language Processing (NLP)

Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that deals with the interaction between computers and human languages.

Why is NLP important?

With the increase in digital content, there is an overwhelming amount of unstructured data in the form of text, audio, and video. NLP helps computers understand, interpret, and manipulate human language, making it possible to extract insights from this unstructured data.

NLP Techniques

There are several techniques used in NLP:

• Tokenization: Breaking text into individual words or phrases, known as tokens.
• Part-of-Speech Tagging: Labeling each word in a sentence with its part of speech, such as noun, verb, adjective, etc.
• Sentiment Analysis: Determining whether a piece of text has a positive, negative, or neutral sentiment.
• Named Entity Recognition: Identifying named entities such as names, organizations, and locations in a piece of text.
• Topic Modeling: Identifying topics in a set of documents.

Applications of NLP

NLP has several applications:

• Chatbots: Chatbots use NLP to understand and respond to user queries.
• Information Extraction: NLP is used to extract information from unstructured data, such as news articles and social media posts.
• Language Translation: NLP is used to translate text from one language to another.
• Speech Recognition: NLP is used in speech recognition systems, such as virtual assistants.
• Text Summarization: NLP is used to summarize large amounts of text.