Introducing Natural Language Processing
Artificial Intelligence
| Beginner
- 13 videos | 35m 53s
- Includes Assessment
- Earns a Badge
Natural language is essential to human communication, which makes the ability to process it an important one for computers. Explore natural language processing and some of the basic tasks.
WHAT YOU WILL LEARN
-
Define nlp, and list some of its applications and methods
Describe some of the base nlp operations such as regex, tokenization, and stemming
Describe the porter stemming algorithm used to stem english text
Describe named entity recognition and some of the methods used to perform this task
Describe how nlp models are built and the various parts required to build them
Describe text classification, why it's useful, and how to perform it
Describe the naïve bayes classification algorithm and how it can be used as a simple text classification algorithm -
Describe information retrieval and some of the base techniques used to perform this task
Describe how an ai agent can use simple information retrieval techniques to answer some simple questions
Describe parsing and how it can be accomplished using nlp
Describe the challenges related to machine translation and some of the methods used to accomplish this task
Describe methods used by computers to recognize speech
Describe many different types of operations that can be used with natural language processing
IN THIS COURSE
-
3m 49sLearn how to define NLP, and list some of its applications and methods. FREE ACCESS
-
3m 44sAfter completing this video, you will be able to describe some of the basic NLP operations such as Regex, tokenization, and stemming. FREE ACCESS
-
3. Porter Stemming Algorithm3m 9sUpon completion of this video, you will be able to describe the porter stemming algorithm used to stem English text. FREE ACCESS
-
4. Named Entity Recognition2m 37sAfter completing this video, you will be able to describe named entity recognition and some of the methods used to perform this task. FREE ACCESS
-
5. Building Natural Language Processing (NLP) Models2m 10sAfter completing this video, you will be able to describe how NLP models are built and the various parts required to build them. FREE ACCESS
-
6. Text Classification2m 9sUpon completion of this video, you will be able to describe text classification, why it is useful, and how to perform it. FREE ACCESS
-
7. Naïve Bayes Classification2m 8sUpon completion of this video, you will be able to describe the Naive Bayes classification algorithm and how it can be used as a simple text classification algorithm. FREE ACCESS
-
8. Information Retrieval (IR)2m 35sUpon completion of this video, you will be able to describe information retrieval and some of the base techniques used to perform this task. FREE ACCESS
-
9. Answering Questions2m 19sAfter completing this video, you will be able to describe how an AI agent can use simple information retrieval techniques to answer some simple questions. FREE ACCESS
-
10. Parsing2m 37sAfter completing this video, you will be able to describe parsing and how it can be accomplished using NLP. FREE ACCESS
-
11. Machine Translation3m 23sUpon completion of this video, you will be able to describe the challenges related to machine translation and some of the methods used to accomplish this task. FREE ACCESS
-
12. Speech Recognition3m 30sAfter completing this video, you will be able to describe methods used by computers to recognize speech. FREE ACCESS
-
13. Exercise: Describe NLP Operations1m 44sAfter completing this video, you will be able to describe many different types of operations that can be used for natural language processing. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.
