Understanding Natural Language
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What is Natural Language Processing?
What is Natural Language Processing?
Computers have traditionally found it difficult to understand human language. In this lesson, you'll learn why this is a challenge, and how Natural Language Processing, or NLP, is providing solutions in various different fields.
Benefits of NLP
Benefits of NLP
NLP has many benefits to businesses. These include benefits specific to NLP itself, and benefits that can be applied to any AI technique. Learn more about these benefits in this lesson.
Analyzing Customer Sentiment
Analyzing Customer Sentiment
One of the more interesting applications of NLP lies in analyzing text data and determining if it is positive, negative, or neutral. This can be applied to many areas where businesses receive feedback from customers. Learn how this works in this lesson.
Creating Assistants and Chatbots
Creating Assistants and Chatbots
Many people will be familiar with virtual assistants and chatbots, which process voice or text data and automatically give an appropriate response. Chatbots provide many opportunities to businesses interacting with customers. Learn about these possibilities in this lesson.
Improving Written Text
Improving Written Text
Applications of NLP don't have to be flashy and trendy. Spelling and grammar checkers are NLP examples widely used in everyday business. Learn how these tools work in this lesson.
Translating Natural Language
Translating Natural Language
Machine translation is a goal that has been pursued for a long time, with varying degrees of success. However, modern NLP methods are making machine translation increasingly viable. Learn more about the challenges and tools involved in machine translation in this lesson.
Overview of the NLP Process
Overview of the NLP Process
There are multiple steps involved in a process that uses Natural Language Processing. In this lesson, we'll learn about these steps, using the example of a smart speaker.
Analyzing the Syntax of Text
Analyzing the Syntax of Text
One of the two main challenges of NLP applications is understanding what a piece of text says, that is its syntax. There are many techniques the computers use to understand text, and we'll learn about them in this lesson.
Identifying the Meaning of Text
Identifying the Meaning of Text
After an NLP program understands what a body of text says, it needs to work out what the text actually means. This means analyzing the semantics of the text. Learn how NLP models do this in this lesson.
Algorithms Used in NLP
Algorithms Used in NLP
NLP models can use various different algorithms to interpret and understand text. We'll learn about some of the different techniques that these algorithms can use in this lesson.
Challenges and Future of NLP
Challenges and Future of NLP
NLP remains a difficult task for computers, and there are still some aspects of the task that can cause problems. Learn about the different challenges of the NLP process, and what they mean for the future of the task, in this lesson.
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