The video discusses the concept of Natural Language Processing (NLP), a branch of artificial intelligence that enables machines to read, understand, and derive meaning from human languages. It explains how NLP combines linguistics and computer science to decipher language structure and guidelines, making models that can comprehend, break down, and separate significant details from text and speech.
The video also highlights how NLP is used in everyday situations, such as spell checkers, plagiarism checkers, and even in social media interactions. It mentions that NLP is not as complicated as it may seem, and that it involves several simple grammar techniques that we have been taught in school.
The video ends with a question about which NLP technique is used to obtain words from sentences, and it mentions that there is a competition with Amazon gift vouchers for the top three answers. It also provides information about a postgraduate program in AI and Machine Learning in collaboration with IBM, where students can learn about frameworks like Keras and TensorFlow and gain hands-on experience in deep learning.
1. The text mentions that Star Wars fans would be familiar with the golden life-sized hospitality robot, C-3PO.
2. The reality of machines talking and responding to us in a human-like manner is becoming more realistic every day.
3. The people we interact with on websites, smart assistants, and calls made over the internet are not actually human.
4. Natural Language Processing (NLP) is the branch of artificial intelligence that gives machines the ability to read, understand, and derive meaning from human languages.
5. NLP combines the field of linguistics and computer science to decipher language structure and guidelines.
6. Data analysts and machine learning experts utilize data to give machines the ability to mimic human linguistic behavior.
7. NLP is used in seemingly normal and insignificant situations, such as autocorrect and plagiarism checkers.
8. NLP is actually pretty easy to learn.
9. To make an algorithm understand what is going on in a document, the document needs to be processed into a form that is easily comprehensible by the machine.
10. The process of breaking down a document into its constituent sentences is called segmentation.
11. The process of breaking down a sentence into its constituent words is called tokenizing.
12. Non-essential words, called stop words, can be removed to make the learning process faster.
13. The process of identifying the base words for different word tenses, moods, and genders is called lemmatization.
14. The concept of nouns, verbs, articles, and other parts of speech are explained to the machine by adding these tags to our words, a process called part of speech tagging.
15. Names of movies, important personalities, or locations that may occur in the document are flagged, a process called named entity tagging.
16. A machine learning algorithm like Naive Bayes is used to teach the model human sentiment and speech.
17. The demand for automated language solutions is increasing, and companies are looking for NLP experts to join them.
18. The postgraduate program in AI and Machine Learning offered by SimplyLearn in collaboration with IBM provides hands-on experience in deep learning.